processinduced stresses and deformations in woven composites manufactured by resin transfer moulding
TRANSCRIPT
Process-Induced Stresses and Deformations
in Woven Composites Manufactured by Resin
Transfer Moulding
Loleï Khoun
July, 2009
Department of Mechanical Engineering
McGill University, Montréal
A thesis submitted to McGill University
in partial fulfillment of the requirements for the degree of
Doctor of Philosophy
©Loleï Khoun, 2009
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“I may not have gone where I intended to go,
But I think I have ended up where I needed to be”
Douglas Adams (1952 – 2001)
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Abstract
This work investigated the factors leading to the generation of process-induced
stresses and deformations in woven composites manufactured by Resin Transfer
Moulding (RTM). Both intrinsic and extrinsic mechanisms were examined. First,
a comprehensive methodology was applied to characterize the thermal,
chemorheological and thermomechanical properties of the CYCOM 890RTM
epoxy resin. The developed models were essential to establish a clear
understanding of the resin behaviour during the processing conditions. Then, the
thermomechanical properties of 5-Harness satin woven fabrics were investigated
using a micromechanical approach. Different fibre volume fractions between 50%
and 62%, corresponding to typical volume fractions used in the RTM process,
were examined. These thermomechanical properties were compared to the
properties of equivalent unidirectional crossply laminates in order to validate the
use of crossply configuration to model the behaviour of woven fabric laminate.
The developed resin models and the fibre properties were then implemented in a
finite element software, ABAQUS/COMPRO in order to predict the evolution of
the laminate properties during the RTM process. Fibre Bragg Grating sensors
were then used to characterize experimentally the tool-part interaction occurring
during the RTM process. The separation of the composite from the mould during
the cool down period was measured by the optical sensors. The maximal shear
stress allowed by the laminate before the debonding was estimated to be 140 kPa
for a steel mould. The observed tool-part interaction was simulated using
frictional contact conditions at the composite/mould interface in a finite element
analysis. Finally, using the ABAQUS/COMPRO interface, the manufacturing of a
composite structure by RTM was modelled, taking into account simultaneously
the intrinsic and extrinsic mechanisms examined. This case study demonstrates
the capacity of the process modelling approach to predict the process-induced
strains, stresses and deformations of three-dimensional woven composite parts
manufactured by the RTM process. The use of such a modelling tool is essential
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for industrial purposes to significantly reduce the design time and manufacturing
cost.
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Résumé
Ce travail étudie les facteurs conduisant au développement de contraintes et
déformations résiduelles induites par le procédé d’injection sur renforts dans le
cas de composites à renforts tissés. Les mécanismes intrinsèques ainsi
qu’extrinsèques ont été pris en considération. Tout d’abord, une méthodologie a
été utilisée pour caractériser les propriétés thermo-chimiques et thermo-
mécaniques de la résine époxy CYCOM 890RTM. Le développement de modèles
mathématiques pour décrire les différentes propriétés est une étape essentielle
pour comprendre clairement l’évolution du comportement de la résine lors du
procédé de fabrication. Ensuite, les propriétés thermo-mécaniques d’un tissu satin
de 5 ont été examinées en utilisant une approche de micromécanique sur un motif
élémentaire. Différentes fractions volumiques de fibre entre 50% et 62%,
correspondant aux fractions volumiques de fibre typiquement utilisées pour le
procédé d’injection sur renfort, ont été étudiées. Les propriétés ont été comparées
aux propriétés obtenues pour des laminés unidirectionnels croisés équivalents. En
général, les propriétés des deux configurations sont comparables. Ceci justifie
l’utilisation des propriétés de fibre unidirectionnelle dans une configuration
croisée pour simuler le comportement d’un laminé à renfort tissé satin de 5. Les
modèles des propriétés de la résine et des fibres ont été ensuite implémentés dans
un logiciel d’éléments finis, ABAQUS/COMPRO, afin de prédire l’évolution des
propriétés du laminé pendant le procédé d’injection sur renforts. Des fibres
optiques à réseaux de Bragg ont été également utilisées pour caractériser
expérimentalement les interactions entre le composite et le moule générées
pendant le procédé. Les fibres optiques saisirent la séparation entre le composite
et le moule pendant le refroidissement. La contrainte de cisaillement maximale
que le composite peut endurer avant le décollement a été estimée à 140 kPa. Cette
interaction entre le composite et le moule a été ensuite simulée par une analyse
d’éléments finis en utilisant une condition de contact par friction à l’interface
composite/moule. Finalement, la fabrication d’une structure composite par le
procédé d’injection sur renfort a été simulée en tenant en compte, simultanément,
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les mécanismes intrinsèques et extrinsèques étudiés. Ce cas d’étude démontre la
capacité d’utiliser le principe de la modélisation de procédé pour prédire les
déformations et contraintes résiduelles générées par le procédé de fabrication pour
des pièces composite tissées tridimensionnelles. L’utilisation d’un tel outil
numérique est essentielle pour des applications industrielles afin de diminuer les
temps de conception ainsi que les coûts de fabrication.
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Acknowledgements
Je tiens tout d’abord à adresser mes remerciements les plus sincères à mon
superviseur, Prof. Pascal Hubert. Ses précieux conseils, son support et ses
encouragements tout au long du projet ont été la clé d’une expérience de
recherche enrichissante et mémorable.
I would like to deeply acknowledge Timotei Centea for his precious help for the
resin characterization. I would like also to sincerely thank Tadayoshi Yamanaka
and Dr. Krishna Challagulla for their valuable help and advice on the unit cell
analysis.
Je remercie sincèrement Jonathan Laliberté pour son aide précieuse pour les
montages expérimentaux ainsi que ses conseils tout au long du projet et son
infinie patience. J’aimerai également remercier le Dr. Véronique Michaud et le
Dr. Rui de Oliveira pour leur accueil chaleureux au Laboratoire de technologie
des composites et polymères de l’EPFL, ainsi que de m’avoir permis d’enrichir
mon expérience dans le domaine des fibres optiques.
I am grateful to Anthony Floyd and Robert Courdji from Convergent
Manufacturing Technologies Inc. for their endless help and invaluable advice with
the process modelling simulations.
Je remercie également de tout mon cœur ma famille qui m’a toujours encouragée
à aller de l’avant et à poursuivre mes ambitions. Je n’aurais pas pu arriver là où
j’en suis sans leurs constants encouragements et conseils.
I would like to gratefully thank all the members of the Composite Materials and
Structures Laboratory for their invaluable friendship and their support throughout
my studies.
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Finally, I would like to acknowledge the financial support from the Consortium
for Research and Innovation in Aerospace in Quebec (CRIAQ) and the Natural
Sciences and Engineering Research Council of Canada (NSERC). I would like
also to acknowledge the industrial and academic partner of this project: Bell
Helicopter Textron, Delastek, the Aerospace Manufacturing Technology Centre
of the National Research Council of Canada (NRC-AMTC) and École
Polytechnique.
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Table of contents
Abstract............. .................................................................................................... iv
Résumé………. ..................................................................................................... vi
Acknowledgements ............................................................................................ viii
Table of contents ................................................................................................... x
List of Figures .....................................................................................................xiv
List of Tables.... ................................................................................................ xxiv
List of Symbols ................................................................................................. xxvi
CHAPTER 1 Introduction ................................................................................... 1
1.1 Introduction ................................................................................... 1
1.2 Motivations .................................................................................... 5
1.3 Project objectives and thesis outline ............................................. 6
CHAPTER 2 Literature Review and Objectives ................................................. 8
2.1 Material behaviour during the cure ............................................... 8
2.1.1 Resin behaviour ............................................................................. 8
2.1.2 Composite thermomechanical properties .................................... 22
2.1.3 Fibre architecture behaviour ........................................................ 27
2.2 Sources of residual stresses and deformations ............................ 31
2.2.1 Thermal strains ............................................................................ 32
2.2.2 Resin volumetric cure shrinkage ................................................. 34
2.2.3 Tool-part interaction .................................................................... 36
2.2.4 Property gradients: temperature, degree-of-cure and fibre volume
fraction ........................................................................................ 38
2.2.5 Secondary effects ........................................................................ 39
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2.3 Process modelling ....................................................................... 40
2.3.1 Heat transfer and cure kinetics .................................................... 42
2.3.2 Flow and compaction .................................................................. 43
2.3.3 Stresses development .................................................................. 44
2.3.4 COMPRO Component Architecture (CCA) ............................... 47
2.4 Literature review summary and objectives ................................. 48
CHAPTER 3 Characterization of the Resin Thermomechanical Properties ..... 52
3.1 Characterization methodology .................................................... 52
3.2 Thermal stability and cure kinetics (step 1 and 2) ...................... 53
3.2.1 Thermal stability (step 1) ............................................................ 53
3.2.2 Cure kinetics (step 2) ................................................................... 55
3.3 Rheological behaviour (step 3a) .................................................. 60
3.4 Glass transition temperature (step 3b) ......................................... 64
3.5 Volumetric changes during cure (step 4a and 4b) ....................... 66
3.5.1 Cure shrinkage (step 4a) .............................................................. 66
3.5.2 Coefficient of thermal expansion (step 4b) ................................. 80
3.6 Elastic modulus (step 4c) ............................................................ 84
3.7 Summary and discussion ............................................................. 88
CHAPTER 4 Thermomechanical properties of fabric composites ................... 91
4.1 Unit cell models .......................................................................... 93
4.1.1 Unidirectional unit cell ................................................................ 93
4.1.2 Crossply unit cell ......................................................................... 94
4.1.3 5-harness satin unit cell ............................................................... 95
4.2 Boundary conditions ................................................................... 99
4.2.1 Periodic constraints ..................................................................... 99
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4.2.2 Loading cases ............................................................................ 101
4.3 Thermomechanical properties ................................................... 103
4.3.1 Determination of the thermomechanical properties .................. 103
4.3.2 Unidirectional unit cell thermomechanical properties .............. 104
4.3.3 Crossply and 5-harness satin unit cells thermomechanical
properties ................................................................................... 107
4.3.4 Evolution of the 5-HS unit cell stresses during the cure cycle .. 115
4.4 Summary and discussion ........................................................... 119
CHAPTER 5 Investigation of the tool-part interaction by fibre Bragg grating
sensors ....................................................................................... 121
5.1 Fibre Bragg grating sensor principle ......................................... 122
5.2 Experimental procedure ............................................................ 125
5.2.1 RTM process ............................................................................. 125
5.2.2 FBG sensors .............................................................................. 128
5.3 Experimental results .................................................................. 129
5.3.1 Measured in-plane strains: cure cycle 1 .................................... 129
5.3.2 Measured in-plane strains: cure cycle 2 .................................... 133
5.3.3 Laminate coefficient of thermal expansion ............................... 137
5.3.4 Maximum shear stress determination ........................................ 138
5.4 Tool-part interaction modelling ................................................ 140
5.4.1 Geometry and finite element mesh ............................................ 141
5.4.2 Material model .......................................................................... 142
5.4.3 Boundary conditions ................................................................. 143
5.4.4 Numerical results ....................................................................... 146
5.5 Summary and discussion ........................................................... 166
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CHAPTER 6 Numerical case study: dimensional stability of carbon epoxy
cylinders ................................................................................... 167
6.1 Numerical model ....................................................................... 167
6.1.1 Geometry and finite element mesh ............................................ 168
6.1.2 Material models ......................................................................... 169
6.1.3 Boundary conditions ................................................................. 170
6.2 Results and discussion ............................................................... 171
6.2.1 Temperature and degree-of-cure ............................................... 172
6.2.2 Strains and stresses results ........................................................ 174
6.2.3 Spring-in variation ..................................................................... 186
6.3 Summary and discussion ........................................................... 193
CHAPTER 7 Conclusions and Future Work ................................................... 195
References......... ................................................................................................. 200
Appendix A Complements on Material Characterization .............................. 211
A.1. DSC measurements .................................................................... 211
A.2. Rheological measurements......................................................... 212
A.3. Solid samples preparation for the rheometer in torsion mode ... 217
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List of Figures
Figure 1-1: Composite manufacturing processes as a function of production rate
and part complexity [2].................................................................................. 1
Figure 1-2: RTM process ........................................................................................ 3
Figure 1-3 RTM phenomena interactions ............................................................... 3
Figure 2-1: State transition and property evolution of the CYCOM 890RTM
epoxy resin during a typical cure cycle. a) Degree-of-cure, viscosity and
glass transition temperature, b) Relative volume variation and elastic
modulus ....................................................................................................... 10
Figure 2-2: Volumetric change of the CYCOM 890RTM epoxy resin during a
typical cure cycle ......................................................................................... 11
Figure 2-3: Example of construction of the compliance master curve using the
principle of time-temperature superposition [62] ........................................ 21
Figure 2-4: Loading on the representative volume element to determine the elastic
constants: a) longitudinal load, b) transverse load, c) in-plane shear load .. 22
Figure 2-5: Comparison of experimental values of the transverse Young’s
modulus with the predicted values using the strength of materials approach,
the semi-empirical approach and the elastic approach as a function of the
fibre volume fraction: a) 0 <Vf <1, b) 0.45< Vf <0.75 [67] ......................... 25
Figure 2-6: Comparison of experimental values of the in-plane shear modulus
with the predicted values using the strength of materials approach, the semi-
empirical approach and the elastic approach as a function of the fibre
volume fraction: a) 0< Vf <1, b) 0.45< Vf <0.75 [67] .................................. 26
Figure 2-7: Main weave configurations. a) Plain weave, b) Twill weave and ..... 28
Figure 2-8: Schematic view of the three analytical models for an 8-harness satin.
a) Mosaic model, b) Crimp model, c) Bridging model (adapted from [73]) 29
Figure 2-9 Shape variations due to process-induced stresses: a) spring-in
deformation, b) warpage deformation ......................................................... 32
Figure 2-10: Schematic explanation of the spring-in variation as a function of the
resin state, below or above Tg (adapted from [99]) .................................. 34
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Figure 2-11: Process-induced warpage mechanism due to tool-part interaction
[107] ............................................................................................................ 36
Figure 2-12: Process-induced warpage mechanism due to fibre volume fraction
gradient ........................................................................................................ 39
Figure 2-13: Process modelling modular approach .............................................. 41
Figure 2-14: Schematic representation of the coordinate systems in ply and the
global orientation ......................................................................................... 45
Figure 2-15: ABAQUS/COMPRO structure ........................................................ 47
Figure 2-16: Summary of the investigations on process-induced stresses and
deformations ................................................................................................ 48
Figure 3-1: Characterization procedure for the thermoset resin ........................... 53
Figure 3-2: Resin weight variation with temperature from a TGA dynamic test at
20°C/min ...................................................................................................... 54
Figure 3-3: Resin weight variation for three hour at 180ºC .................................. 55
Figure 3-4: Typical heat flow of a Dynamic Scanning Calorimetry dynamic test at
2ºC/min ........................................................................................................ 56
Figure 3-5: Comparison of experimental data and predicted cure kinetics model
for isothermal tests: a) degree-of-cure with the time, b) cure rate as a
function of the degree-of-cure ..................................................................... 57
Figure 3-6: Cure rate as a function of inverse absolute temperature at low degree-
of-cure (α = 0.1) under isothermal conditions ............................................. 58
Figure 3-7: Ultimate degree-of-cure under isothermal conditions as a function of
the glass transition temperature ................................................................... 59
Figure 3-8: Comparison of experimental data and predicted cure kinetics model
for dynamic tests .......................................................................................... 60
Figure 3-9: Evolution of the measured and predicted viscosity with temperature
for rheological dynamic tests at three temperature rates ............................. 61
Figure 3-10: Evolution of the measured and predicted viscosity with time for
rheological isothermal tests ......................................................................... 62
Figure 3-11: Determination of the gel point at 180ºC .......................................... 62
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Figure 3-12: Comparison of glass transition temperatures measured with
Modulated Differential Scanning Calorimeter, Thermo Mechanical
Analyzer and rheometer in torsion mode and the predicted values obtained
with the DiBenedetto model ........................................................................ 66
Figure 3-13: Shrinkage measurement methods set-up: a) modified rheology, b)
gravimetric. .................................................................................................. 70
Figure 3-14: Gap and normal force variation for a typical modified rheology test
for an isothermal cure at 180ºC ................................................................... 71
Figure 3-15: Evolution of the measured resin shrinkage by the modified rheology
method and predicted values with time under isothermal conditions ......... 72
Figure 3-16: Evolution of the measured resin shrinkage by the modified rheology
method and the predicted values as a function of the degree-of-cure under
isothermal conditions ................................................................................... 73
Figure 3-17: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 160ºC ................................................................... 74
Figure 3-18: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 170ºC ................................................................... 74
Figure 3-19: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 180ºC ................................................................... 75
Figure 3-20: Evolution of the measured resin shrinkage by gravimetric method
and predicted values with time under isothermal conditions ...................... 76
Figure 3-21: Measured and predicted cure shrinkage for isothermal tests with the
gravimetric method ...................................................................................... 76
Figure 3-22: Comparison of the two shrinkage measurement methods with
degree-of-cure at 160ºC ............................................................................... 78
Figure 3-23: Comparison of the two shrinkage measurement methods with
degree-of-cure at 170ºC ............................................................................... 79
Figure 3-24: Comparison of the two shrinkage measurement methods with
degree-of-cure at 180ºC ............................................................................... 79
Figure 3-25: Resin relative dimensional change with temperature of a neat resin
sample with an initial degree-of-cure 1 of 0.883 ....................................... 81
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Figure 3-26: Resin relative dimensional change during the heating part of cycle 3
at 3ºC/min .................................................................................................... 82
Figure 3-27: Variation of the coefficient of thermal expansion with the degree-of-
cure before and after the glass transition ..................................................... 83
Figure 3-28: Evolution of the measured and predicted CTE as a function of T*,
for 3ºC/min heating rate up to different temperatures ................................. 84
Figure 3-29: Evolution of the elastic modulus with temperature and time for a
resin sample with an initial degree-of-cure 1 of 0.846 .............................. 86
Figure 3-30: Resin modulus model as a function of difference between
instantaneous and glass transition temperature (T*=T-Tg) ......................... 87
Figure 3-31: Measured and predicted elastic modulus with time under two curing
temperatures, 160ºC and 180ºC ................................................................... 88
Figure 4-1: Applied methodology to determine the thermomechanical properties
of the unidirectional crossply and 5-harness woven fabric unit cells .......... 92
Figure 4-2: Unidirectional unit cell finite element model..................................... 94
Figure 4-3: Crossply unit cell finite element model ............................................. 95
Figure 4-4: a) Cross-section of a 4 plies laminate, G30-500 6k carbon
fibre/CYCOM 890RTM epoxy resin, observed by optical microscope (x50),
b) detail of a yarn ......................................................................................... 96
Figure 4-5: 5-harness satin unit cell: a) unit cell finite element model and
dimensions, b) yarn dimensions, c) schematic representation of the fibre
orientation along a yarn ............................................................................... 99
Figure 4-6: Unit cell faces, edges and corners notations .................................... 100
Figure 4-7: Boundary conditions: a) for an axial loading, b) for a shear loading, c)
for a thermal loading.................................................................................. 102
Figure 4-8: Axial and shear stress distributions of the unidirectional unit cell at
70% fibre volume fibre .............................................................................. 106
Figure 4-9: Axial and shear stress distributions of the crossply unit cell at 70%
fibre volume fraction ................................................................................. 109
Figure 4-10: Axial and shear stress distributions of the 5-HS unit cell at 70% fibre
volume fraction .......................................................................................... 110
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Figure 4-11: Elastic modulus comparison for the crossply unit cell and the 5-
harness satin unit cell ................................................................................. 111
Figure 4-12: Shear modulus comparison for the crossply unit cell and the 5-
harness satin unit cell ................................................................................. 112
Figure 4-13: Poisson’s ratios comparison for the crossply unit cell and the 5-
harness satin unit cell ................................................................................. 112
Figure 4-14: In-plane coefficients of thermal expansion comparison for the
crossply unit cell and the 5-harness satin unit cell .................................... 113
Figure 4-15: Through-thickness coefficients of thermal expansion comparison for
the crossply unit cell and the 5-harness satin unit cell .............................. 113
Figure 4-16: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the gel point (t = 70 minutes) .................................................................... 116
Figure 4-17: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the end of the isotherm (t = 120 minutes) .................................................. 117
Figure 4-18: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the end of the cool down (t = 275 minutes) ............................................... 118
Figure 5-1: Schematic representation of the open and closed mould processes, a)
before the cure, b) at the end of the cure ................................................... 121
Figure 5-2: Phase mask grating technique (adapted from [150])....................... 124
Figure 5-3: RTM steel mould: a) mould opened, b) perform inside the mould .. 126
Figure 5-4: RTM experimental set-up ................................................................ 127
Figure 5-5: Applied cure cycle to the RTM process ........................................... 127
Figure 5-6: Preconditioned fibre Bragg grating sensor ....................................... 128
Figure 5-7: FBG sensors position in the laminate .............................................. 129
Figure 5-8: FBG sensor relative wavelength variation and temperature during cure
cycle 1 ........................................................................................................ 130
Figure 5-9: In-situ strain variation during cure cycle 1 ...................................... 131
Figure 5-10: In-situ strain variation from the injection to the end of cure cycle 1
................................................................................................................... 131
Figure 5-11: In-situ strain variation with the temperature for cure cycle 1 ........ 133
Figure 5-12: FBG sensor relative wavelength variation during cure cycle 2 ..... 135
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Figure 5-13: In-situ strain variation during cure cycle 2 from the injection to the
end of the cool down ................................................................................. 135
Figure 5-14: In-situ strain variation with the temperature for the cool down of cure
cycle 2 ........................................................................................................ 136
Figure 5-15: Comparison of the strain variation at the laminate mid-thickness for
the two cure cycles. ................................................................................... 136
Figure 5-16: Temperature and strain variation during the post-cure of the laminate
................................................................................................................... 138
Figure 5-17: Shear stress formation due to the mismatch of the thermal expansion
between the composite and the mould at the cool down ........................... 139
Figure 5-18: Composite plate and steel mould finite element model: a) finite
element mesh of the laminate, b) finite element mesh of the mould and the
laminate, c) close-up of the laminate finite element mesh in the mould, d)
schematic position of the analyzed element .............................................. 142
Figure 5-19: Schematic representation of the critical shear stress evolution with a
stick-slip behaviour ................................................................................... 145
Figure 5-20: Evolution of the temperature and the degree-of-cure at the laminate
mid-thickness at the position A for cure cycle 1 ....................................... 147
Figure 5-21: Evolution of the temperature and the degree-of-cure at the laminate
mid-thickness at the position A for cure cycle 2 ....................................... 147
Figure 5-22: Temperature and degree-of-cure field at different times: 0 minutes,
60 minutes, 120 minutes, and 917 minutes ............................................... 148
Figure 5-23: In-plane strain evolution at the laminate mid-thickness for cure cycle
1 in the case of no bonding (model A) and perfect bonding (model B) ..... 150
Figure 5-24: In-plane strain evolution at the laminate mid-thickness for cure cycle
1 using contact interactions (model C) ...................................................... 150
Figure 5-25: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 1 in the case of no bonding (model A) and perfect bonding (model
B) ............................................................................................................... 151
Figure 5-26: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 1 using contact interactions (model C) ..................................... 151
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Figure 5-27: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 1 in the case of no bonding (model A) and perfect
bonding (model B) ..................................................................................... 153
Figure 5-28: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 1 using contact interactions (model C) ............... 153
Figure 5-29: Through-thickness strain evolution with the temperature at the
laminate mid-thickness for cure cycle 1 in the case of no bonding (model A)
and perfect bonding (model B) .................................................................. 154
Figure 5-30: Through-thickness strain evolution with temperature at the laminate
mid-thickness for cure cycle 1 using contact interactions (model C) ........ 154
Figure 5-31: Comparison of the in-plane strain evolution at the laminate mid-
thickness for cure cycle 1 obtained experimentally and numerically in the
case of no bonding (model A) and perfect bonding (model B) and frictional
contact (model C)....................................................................................... 156
Figure 5-32: Comparison of the in-plane strain evolution with temperature during
the cool down at the laminate mid-thickness for cure cycle 1 obtained
experimentally and numerically in the case of no bonding (model A), perfect
bonding (model B) and frictional contact (model C) ................................. 157
Figure 5-33: In-plane strain evolution at the laminate mid-thickness for cure cycle
2 in the case of no bounding (model A) and perfect bounding (model B) . 158
Figure 5-34: In-plane strain evolution at the laminate mid-thickness for cure cycle
2 using contact interactions (model C) ...................................................... 159
Figure 5-35: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 2 in the case of no bounding (model A) and perfect bounding
(model B) ................................................................................................... 159
Figure 5-36: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 2 using contact interactions (model C) ..................................... 160
Figure 5-37: In-plane strain evolution with temperature at the laminate mid-
thickness for cure cycle 2 in the case of no bounding (model A) and perfect
bounding (model B) ................................................................................... 161
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Figure 5-38: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 2 using contact interactions (model C) ............... 161
Figure 5-39: Through-thickness strain evolution with the temperature at the
laminate mid-thickness for cure cycle 2 in the case of no bounding (model
A) and perfect bounding (model B)............................................................ 162
Figure 5-40: Through-thickness strain evolution with temperature at the laminate
mid-thickness for cure cycle 2 using contact interactions (model C) ........ 162
Figure 5-41: Comparison of the in-plane strain evolution at the laminate mid-
thickness for cure cycle 2 obtained experimentally and numerically in the
case of no bonding (model A) and perfect bonding (model B) and frictional
contact (model C)....................................................................................... 164
Figure 5-42: Comparison of the in-plane strain evolution with temperature during
the cool down at the laminate mid-thickness for cure cycle 2 obtained
experimentally and numerically in the case of no bonding (model A), perfect
bonding (model B) and frictional contact (model C) ................................. 165
Figure 6-1: Finite element models and boundary conditions: a) RTM finite
element mesh, b) close-up of the laminate mesh, c) schematic position of the
analyzed elements A and B ....................................................................... 169
Figure 6-2: Predicted temperatures at point A at different locations through the
composite thickness ................................................................................... 172
Figure 6-3: Predicted degree-of-cure at point A at different locations through the
composite thickness ................................................................................... 173
Figure 6-4: Temperature, glass transition temperature and degree-of-cure
evolutions for the RTM process at point A at the mid-thickness of the
composite ................................................................................................... 173
Figure 6-5: Radial strain evolution of the [0º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A....................................... 175
Figure 6-6: Radial strain evolution of the [90º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A....................................... 176
Figure 6-7: Radial strain evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 176
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Figure 6-8: Radial strain evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 177
Figure 6-9: Radial strain evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 177
Figure 6-10: Radial stress evolution of the [0º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A....................................... 178
Figure 6-11: Radial stress evolution of the [90º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A....................................... 178
Figure 6-12: Radial stress evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 179
Figure 6-13: Radial stress evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 179
Figure 6-14: Radial stress evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with a steel mandrel at position A .......... 180
Figure 6-15: Schematic representation of the composite debonding, depending of
the material orientation .............................................................................. 182
Figure 6-16: Evolution of the contact pressure at position A and B for the ....... 183
Figure 6-17: Radial stress evolution of the [0º]8 laminate at the interfaces for the
RTM process with an aluminum mandrel at position A ............................ 184
Figure 6-18: Radial stress evolution of the [90º]8 laminate at the interfaces for the
RTM process with an aluminum mandrel at position A ............................ 184
Figure 6-19: Radial stress evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A 185
Figure 6-20: Radial stress evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A 185
Figure 6-21: Radial stress evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A 186
Figure 6-22: Schematic representation of the deformations occurring after the
stresses released a) spring-in, b) warpage ................................................. 187
Figure 6-23: Effect of the resin shrinkage and the laminate layup on the spring-in
value at the end face .................................................................................. 192
-xxiii-
Figure 6-24: Effect of the laminate layup and the mandrel material on the spring-
in value at the end face .............................................................................. 193
Figure A-1: Dynamic test reproducibility at 1ºC/min and 2ºC/min temperature
ramp ........................................................................................................... 211
Figure A-2: Isothermal test reproducibility at 160ºC, 170ºC, 180ºC and 190ºC 212
Figure A-3: Strain sweep test performed at 1Hz frequency in oscillatory mode 213
Figure A-4: Time sweep performed at 15% strain and 1Hz in oscillatory mode 213
Figure A-5: Viscosity tests at 170ºC at 15% strain and 1Hz in oscillatory mode
................................................................................................................... 214
Figure A-6: Viscosity tests at 180ºC at 15% strain and 1Hz in oscillatory mode
................................................................................................................... 214
Figure A-7: Viscosity tests at 190ºC at 15% strain and 1Hz in oscillatory mode
................................................................................................................... 215
Figure A-8: Dynamic viscosity tests for a temperature ramp of 1ºC/min at 15%
strain and 1Hz in oscillatory mode ............................................................ 215
Figure A-9: Dynamic viscosity tests for a temperature ramp of 2ºC/min at 15%
strain and 1Hz in oscillatory mode ............................................................ 216
Figure A-10: Dynamic viscosity tests for a temperature ramp of 3ºC/min at 15%
strain and 1Hz in oscillatory mode ............................................................ 216
Figure A-11: Glass transition temperature measurement process. The arrows
correspond to one of the three glass transition temperature indicators [155]
................................................................................................................... 218
-xxiv-
List of Tables
Table 2-1: Studies on process-induced stresses and deformations for the RTM
process ......................................................................................................... 50
Table 3-1: Cure kinetic model constants............................................................... 59
Table 3-2: Viscosity model constants ................................................................... 64
Table 3-3: DiBenedetto model constants .............................................................. 65
Table 3-4: Curve fitting constants for the shrinkage model obtained by the
modified rheology method (Eq. 3-10) and R2 values for isothermal
experiments .................................................................................................. 73
Table 3-5: Bilinear curve fitting constants for the shrinkage model obtained by the
gravimetric method (Eq. 3-11) .................................................................... 77
Table 3-6: Coefficient of thermal expansion model constants ............................. 84
Table 3-7: Parameters values of the elastic modulus model ................................. 88
Table 4-1: Types of reinforcement and their fibre volume fractions .................... 92
Table 4-2: Carbon fibre and epoxy resin thermomechanical properties ............... 93
Table 4-3: Measured dimensions of a 5-harness satin unit cell ............................ 96
Table 4-4: Nominal ply thickness as a function of the fibre volume fraction ...... 97
Table 4-5: Dimensions and characteristics of the preliminary and final 5-harness
satin unit cell ................................................................................................ 98
Table 4-6: Comparison of the numerical and analytical values obtained for the
nine engineering constants and the coefficients of thermal expansion of the
unidirectional unit cell ............................................................................... 105
Table 4-7: Engineering constants and coefficients of thermal expansion obtained
for the crossply unit cell for different fibre volume fractions ................... 107
Table 4-8: Engineering constants and coefficients of thermal expansion obtained
for the 5-harness satin unit cell for different fibre volume fractions ......... 108
Table 4-9: Experimental values of the coefficients of thermal direction obtained
by TMA for a 5-Harness satin unit cell with Vf = 59.4% .......................... 115
Table 4-10: Composite shrinkage coefficients for the 5-harness satin unit cell at
62%, 55% and 50% fibre volume fractions ............................................... 119
-xxv-
Table 5-1: Coefficient of thermal expansion measured at the post cure ............. 138
Table 5-2: Maximum shear stress for the two cure cycle ................................... 140
Table 5-3: Material properties used as input for the FE models ......................... 143
Table 5-4: Numerical curve gradients obtained with the different models for the
in-plane and through-thickness strains for the cure cycle 1 ...................... 155
Table 5-5: Comparison of the experimental and predicted curve gradients
obtained with the different models for the in-plane strains ....................... 157
Table 5-6: Numerical curve gradients obtained with the different models for the
in-plane and through-thickness strains during the cure cycle 2................. 163
Table 5-7: Comparison of the experimental and predicted curve gradients
obtained with the different models for the in-plane strains ....................... 165
Table 6-1: Material properties used as input for the FE models ......................... 170
Table 6-2: Coefficients of thermal expansion of the laminates .......................... 182
Table 6-3: Process-induced dimensional changes for the different laminate layups
................................................................................................................... 188
Table 6-4: Composite cure shrinkage coefficients in the longitudinal, hoop and
radial directions ......................................................................................... 189
Table 6-5: Analytical spring-in values for the different laminate layups ........... 190
Table A-1: Pre-cured plaque information ........................................................... 217
Table A-2: Degree-of-cure evolution for samples used for the glass transition
temperature measurements ........................................................................ 219
Table A-3: Degree-of-cure evolution for samples used for the tensile modulus
measurements ............................................................................................ 219
-xxvi-
List of Symbols
Latin Symbols
A Area; constant
Fibre areal weight
a Shift factor; constant
B Constant
b Constant
C Stiffness; constant
Cp Specific heat
CTE Coefficient of thermal
expansion
E Elastic modulus; edge node;
constant
Ea Activation energy
Eν Viscous activation energy
Ek Kinetic activation energy
F Face nodes
FN Normal force
G Shear modulus
H Heat flow
HT Total heat of reaction
h Heat transfer coefficient;
parallel plates gap; height
K Bulk modulus; FBG
sensitivity; constant
KT Effective plane strain bulk
modulus
Preform permeability tensor
k Arrhenius constants
kk Rheology constant
kij Thermal conductivity tensor
L Length
l Thickness; length
m Reaction order; mass;
constant
N Corner nodes
n Reaction order; number of
plies; effective refractive index
P Pressure
Generated heat
R Universal gas constant
RF Reaction force
r Radius
S Compliance
T Temperature; transformation
matrix; constant
Tg Glass transition temperature
T* Difference between the
instantaneous cure temperature and
the glass transition temperature
t Time; thickness
u Displacement
V Volume
Vf Fibre volume fraction
Darcy velocity vector
Resin velocity vector
w Width; warpage
YVf Yarn fibre volume fraction
-xxvii-
Greek symbols
Λ Period
Ф Fibre bed porosity
α Degree-of-cure
Normalized degree-of-cure
ε Strain, shrinkage
η Viscosity
θ Angle
Constant
λ Fitting parameter
λB Bragg wavelength
µ Dynamic viscosity;
coefficient of friction
ν Poisson’s ratio
ρ Density
σ Stress
Fibre bed effective stress
τ Shear stress
Composite shrinkage
coefficient
Subscrits:
agp After gel point
app Applied
B Grating
c Composite; cure; critical
crit Critic
f Fibre; final
fl Fluid
gel Gelation
glass Glassy state
H Host material
i i-direction; initial; inflection
j j-direction
L Longitudinal; Linear
l In-plane
M Mechanical
max Maximum
q Quenched
RT room temperature
r Resin; radial
ref Reference
S Shrinkage
s Solid; surface
T Temperature
t Transverse
th Thermal
tot Total
ult Ultimate
V volumetric
α Degree-of-cure
ε Strain
θ Hoop direction
0 Initial; at 0K
Superscript
S Shrinkage
0 Uncured
∞ Fully cured
-1-
CHAPTER 1 Introduction
1.1 Introduction
The development of preimpregnated reinforcements (prepregs) and autoclave
moulding have opened doors to high performance composite structures. They
enable the manufacturing of composite parts with high mechanical properties,
high fibre volume fraction (up to 70%) and low void content. However, with the
autoclave process, the material and equipment costs remain very high. Over the
last decade, the composite industry has aimed to produce high quality parts at low
cost and reduced time. Therefore, out-of-autoclave processes (OOAP) have been
increasingly considered to manufacture high performance composite structures as
an alternative to the well established autoclave process [1]. As shown in Figure
1-1, most of the OOAP allow the production of equally or more complex
composite parts than those manufactured by autoclave, with a higher production
rate.
Figure 1-1: Composite manufacturing processes as a function of production rate
and part complexity [2]
-2-
Among them, the use of Resin Transfer Moulding (RTM) to manufacture
composite parts for aerospace applications has significantly increased in recent
years. As part of the Liquid Composite Moulding (LCM) process family, RTM
was first developed in the 1950’s by the US Navy to produce a 28-ft long boat in
fibre glass/polyester. After many years dedicated to marine applications, it is now
widely used in diverse industries such as automotive, marine, transportation and
aerospace [3, 4].
This closed mould process presents many advantages over the autoclave process
[5, 6]:
The material and equipment costs are low (30-50% of the autoclave
process cost).
It enables the production of large and complex composite structures with
short cure cycles (approximately 50% of the autoclave process time) and
high consistency.
It allows the use of a wide variety of resin systems and reinforcements.
Composite parts manufactured by RTM typically have a good surface
finish on all sides while maintaining tight geometrical tolerances.
Mechanical properties comparable to autoclave processed parts can be
achieved with fibre volume fraction up to 60%
As it is a closed mould process, the emission of volatiles remains low.
The RTM process consists of five main steps (Figure 1-2). In the first step or
preforming (1), dry reinforcements are assembled in a preform whose shape is
close to the desired part geometry. Then the preform is placed into the mould and
compacted when the mould is closed (2). The mould is afterwards pre-heated to
the cure temperature (3). Once the required temperature is reached, the resin is
injected into the mould cavity through the injection port, impregnating the
preform. The excess resin flows outside the mould through the vent port (4). The
heat of the mould activates the polymerization to cure the resin. Once the resin is
fully cured, the part is removed from the mould (5).
-3-
Four main physical and chemical phenomena are involved during the RTM
process: heat transfer, flow and compaction, cure and residual stresses
development. As shown in Figure 1-3, these phenomena involve several key
material properties and their interaction affects the final properties of the
composite structure.
Figure 1-2: RTM process
Figure 1-3 RTM phenomena interactions
The RTM process produces parts with high consistency which is an advantage for
high production rate applications. However, at every step of the process, several
phenomena can affect the part quality and dimensions [5]. During the preforming
-4-
stage and compaction, the preform manipulation and deformation, when the
mould is closed, can cause: fibre displacements, changes in fibre orientation and
non-uniform fibre volume fraction distribution. Then fibre motions, porosity and
dry spot formation can occur during the injection phase and mould filling. Finally,
residual stresses develop during the curing stage leading to shape distortions after
demoulding and sometimes leading to the formation of micro-cracks or
delaminations.
In order to predict such phenomena and defects, many studies on RTM
simulations have been carried out. In a recent review on RTM modelling, the
RTM simulation approaches were divided into two main categories: the
simulation of the mould filling stage and the simulation of the process cycle [7].
Simulations of the mould filling stage have been extensively investigated. These
simulations determine the flow front location at any time and the filling time as a
function of the part geometry, the resin and preform properties, and the inlet/vent
positions. The studies typically investigate the following aspects [8-23]:
The prediction of the flow front location, the fibre impregnation and the
void content.
The prediction of the mould filling time.
The prediction of the pressure, temperature and degree-of-cure distribution
in the composite during the mould filling.
The optimization of the process parameters such as the injection pressure,
the resin flow rate, the mould temperature, the inlet and vent positions.
The first simulations only considered isothermal conditions [8-15] and were later
extended to non-isothermal conditions [16-20] in order to take into account the
resin cure kinetics and the heat transfer between the resin and the mould. These
simulations can be used as a useful tool for the design and optimization of the
RTM mould.
On the other hand, fewer studies have been performed on the simulations of the
entire RTM process cycle. These simulations allow the prediction of the evolution
-5-
of the degree-of-cure and the development of the residual stresses and eventual
shape distortions during the cure cycle with [16, 17] and without considering the
mould filling stage [24-26]. The different phenomena and interactions occurring
during the process (Figure 1-3), as well as the evolution of the composite
constituent material properties have to be taken into account simultaneously in
order to be realistic and accurate.
1.2 Motivations
For aerospace applications, dimensional stability is one of the major issues as
tight tolerances are required. While highly distorted parts are rejected entirely,
smaller distortions lead to unwanted stresses as the part is forced to fit the
assembly geometry. One decade ago, most of the knowledge in composite
manufacturing was based on rule-of-thumb and experience. When a part presented
some distortions, the tool geometry was modified so that the composite part met
the shape requirements. This approach worked well for simple and similar
geometries. However for new and complex parts, such a process took several
iterations, increasing production time and cost. Nowadays, both process
experience and modelling analysis are employed in industry to predict the strength
and failure properties of complex composite parts before the actual part
manufacturing, leading to significant reduction in time and cost to produce
components. While design and stress analyses are now well established in the
aerospace industry, process modelling is proving to be also attractive, especially
for well known and extensively employed process, such as autoclave. However,
this procedure is not as developed and common for out-of-autoclave processes.
In order to predict the final geometry and final properties of a new or complex
composite structure, one has to simulate the entire cure cycle and take into
account both intrinsic and extrinsic mechanisms that can influence the structure
properties. Intrinsic refers to material and part geometry related mechanisms. The
property differences between the polymeric matrix and the reinforcement as well
-6-
as the property differences in the longitudinal, transverse and through-thickness
directions have a significant influence on the development of residual stresses. In
addition, the resin change from a liquid to a solid, as the cure progresses, leads to
significant variations of its constitutive properties such as the degree-of-cure, the
volumetric changes and the elastic modulus. The evolution of these properties
affects as well the residual stresses and deformations. On the other hand, extrinsic
describes the tool and process related mechanisms, such as the tool-part
interaction or the cure cycle (time, temperature, pressure) that can have an effect
on the final properties of the composite structure.
Hence, it is crucial to clearly understand the different phenomena, involved in
composite manufacturing, leading to process-induced stresses and part shape
change. Development of accurate material constitutive models, process modelling
and a comprehensive understanding of both intrinsic and extrinsic mechanisms
are key elements to achieve this purpose.
1.3 Project objectives and thesis outline
The main research objective of this thesis is to investigate the different parameters
leading to process-induced deformations, including thickness variations and part
distortions, of woven composite parts manufactured by RTM. Once the different
mechanisms are well understood, process modelling can be applied to predict the
process-induced deformations. To achieve this goal, the present research is
organized into the following chapters.
Chapter 2 presents a detailed literature review on the material behaviour during
the cure cycle and the process-induced stresses and dimensional stability in
composite manufacturing. Based on this knowledge, the specific objectives of the
thesis are formulated.
-7-
Chapter 3 and Chapter 4 are related to the material characterization. Chapter 3
describes the methodological approach developed to characterize the processing
properties of thermoset resins. The methodology was applied to define the
thermal, chemorheological and thermomechanical properties of a particular RTM
one-part epoxy. Chapter 4 analyses the influence of the fibre architecture
(unidirectional, crossply, 5-harness satin weave) on the composite
thermomechanical properties.
Chapter 5 examines the tool-part interaction mechanisms experimentally and
numerically for panels manufactured by RTM.
Chapter 6 presents a case study on dimensional stability including the diverse
factors studied in the previous chapters.
Finally, the contributions of this study and recommendations for future studies are
presented in Chapter 7.
-8-
CHAPTER 2 Literature Review and Objectives
This chapter contains a comprehensive literature review on residual stresses and
deformation induced during the manufacturing process of composite structures.
First an overall description of the evolution of the material behaviour during the
cure is presented. The resin properties having an effect on the strain and stress
development are described in detail. Some investigations of the influence of the
fibre architecture are presented as well. Then the different sources of process-
induced stresses and deformations are highlighted. From the literature review, the
specific objectives of this thesis are stated.
2.1 Material behaviour during the cure
2.1.1 Resin behaviour
During the processing of composite material, the thermoset resin evolves from a
low molecular weight liquid material to a crosslinked macromolecular solid
structure. In its liquid state, the thermoset resin consists of monomers. Then as the
polymerization is initiated by a catalyst or heat for example, the monomer
molecules react, crosslink and grow longer. As the crosslinking process
progresses, the long polymer chains join up to form a three-dimensional network.
At that moment, the resin evolves in a gel/rubbery state where the polymer chains
remain mobile. Finally, when most of the crosslinks have formed and the three-
dimensional network is fully established, the resin is in a solid/glassy state and the
motion of the polymer chains is very restrained. The crosslinking process is
quantified by the degree of conversion or degree-of-cure. This variable varies
from 0 to 1, 0 corresponding to the uncured state with no crosslink and 1
representing the fully cured state where the three-dimensional network is totally
developed.
-9-
Figure 2-1 shows the evolution of the resin properties for a typical cure cycle for
the RTM process. As the cure progresses, the degree-of-cure of the resin
increases, leading to an increase of the glass transition temperature and the resin
viscosity. From Figure 2-1-a, the resin undergoes its liquid-rubbery
transformation when the viscosity reaches an infinite value. This gelation occurs
after 70 minutes at 180ºC, at a degree-of cure of 0.7. After that point, as shown in
Figure 2-1-b, the resin elastic modulus starts to develop and the resin can sustain
strains and stresses without flowing. The resin also begins to shrink, due to the
polymer network formation. However, its behaviour remains highly viscoelastic,
and the generated strains and stresses can be relaxed to some extent. As the
polymerization advances more, the glass transition temperature, Tg, passes the
curing temperature and the vitrification happens 50 minutes later at a degree-of-
cure of 0.93. A significant increase in the resin elastic modulus can be observed at
the vitrification. At that stage, the resin is in its glassy state, and behaves like an
elastic solid. The generated stresses cannot be relaxed any more. The gel point
and the vitrification time depend of the type of resin and the cure cycle used; the
resin may go through the vitrification during the isotherm or at the cool down.
-10-
Figure 2-1: State transition and property evolution of the CYCOM 890RTM
epoxy resin during a typical cure cycle. a) Degree-of-cure, viscosity and glass
transition temperature, b) Relative volume variation and elastic modulus
-11-
Also, as seen in Figure 2-1-b, significant changes in volume take place as the cure
progresses. The different mechanisms leading to volumetric change are illustrated
in Figure 2-2 for a cube of resin with an initial volume of 1 cm3:
Step a-b: as the temperature increases to reach the curing temperature of 180ºC,
the volume of the resin increases due to thermal expansion.
Step b-c: at the isothermal curing temperature, the volume of the resin decreases
due to the chemical shrinkage resulting from the formation of the chemical
network.
Step c-e: during the temperature cool-down, the volume of the resin decreases due
to the thermal contraction. The dashed line represents the path of a resin passing
the vitrification transition during the cool down. The resin coefficient of thermal
expansion (CTE) is much higher in its rubbery state (above Tg, step c-d’) than in
its glassy state (below Tg, step d’-e’).
Figure 2-2: Volumetric change of the CYCOM 890RTM epoxy resin during a
typical cure cycle
Hence, a comprehensive understanding of the resin behaviour during the cure, and
an accurate characterization of the evolution of its properties (cure kinetics,
-12-
viscosity, glass transition temperature, volumetric changes, elastic modulus) is
essential to understand the development of residual stresses and deformations.
The next sub-sections present the main models found in the literature to describe
these properties.
2.1.1.1 Cure kinetics
A variety of cure kinetic models have been proposed to describe the cure
behaviour of several types of resin. They can be divided into two categories:
mechanistic models and phenomenological models.
Mechanistic models are based on the knowledge of how the chemical molecules
react with one another during the cure. Due to the complexity of the
polymerization reaction, such models can be very difficult to obtain. Also they
require the details of the resin chemical formula which is not always available
from the manufacturer. Phenomenological models describe the cure reaction
ignoring the details of the chemical reaction. Generally, phenomenological
models are preferred to describe the curing behaviour of thermoset resins.
Phenomenological cure kinetics models are usually determined using a
Differential Scanning Calorimeter (DSC) under dynamic and isothermal
conditions. The dynamic scans measure the total heat of reaction released during
the cure whereas isothermal scans are used to monitor the heat flow during a
series of isothermal cures. The measured heat generated by the resin is then
converted into cure rate based on the assumption that the rate of reaction, ,
is proportional to the rate of the heat flow, :
Eq. 2-1
where HT is the total exothermic heat of reaction. The degree-of-cure of the resin
(α) can be obtained by integrating the area under the curve of cure rate versus time
as follows:
-13-
Eq. 2-2
Then resin cure kinetics models relate the rate of cure as a function of time,
temperature and degree-of-cure.
The simplest cure kinetic model is expressed by an n-order equation [27]:
Eq. 2-3
where n is the reaction order and k is the rate constant following an Arrhenius
temperature dependency:
Eq. 2-4
where EA is the activation energy and R is the gas constant.
Nevertheless, this model is too simple to realistically describe the various
reactions taking place during the cure and the transitions (gelation, vitrification)
the material undergoes.
Kamal and Sourour [28, 29] developed the following autocatalytic cure kinetic
model for the epoxy and unsaturated polyester resin systems:
Eq. 2-5
where k1 and k2 are the rate constants following the Arrhenius relationship, and n
and m are catalytic constants.
When the thermoset resin goes through the glass transition, the reaction slows
down rapidly and changes to a diffusion controlled mode. As a consequence, the
final degree-of-cure and the rate of cure will be lower than those predicted. In
order to take into account the phenomenon of vitrification, Gonzalez-Romero and
Castillas [30] introduced a new parameter αmax in the equation, which corresponds
to the maximum degree-of-cure the resin can reach due to the diffusion:
-14-
Eq. 2-6
An alternative way to model the switch from a kinetics-dominated to a diffusion-
dominated reaction is to add a diffusion factor, f(α,T), to the cure kinetics
equation:
Eq. 2-7
Khanna and Chanda [31] defined a diffusion factor as follows:
Eq. 2-8
where αc is the critical degree-of-cure when the reaction change to diffusion
control, and C is a constant.
Cole et al. [32] extended this diffusion factor by expressing the critical degree-of-
cure as a function of the temperature:
Eq. 2-9
where αC0 is the critical degree-of-cure at T=0K and αCT is a constant taking into
account the increase in critical degree-of-cure with the temperature.
Hubert et al. [33] used this diffusion factor with the cure kinetic model from Lee
et al. [34]:
Eq. 2-10
Using this model, they demonstrated much better prediction of the cure behaviour
after the vitrification of epoxy resin than achieved using regular models.
2.1.1.2 Rheological behaviour
The resin rheological behaviour describes the evolution of the resin viscosity as a
function of many variables such as the temperature, the resin cure, the shear rate
or the filler properties. The viscosity is influenced by the thermal effect and the
cure effect in opposite way. First, the viscosity decreases as the temperature
-15-
increases due to the thermal effect, as shown in Figure 2-1-a. Then the viscosity
reaches a minimum value. In liquid injection processes, the resin is usually
injected in the mould at this minimum viscosity point in order to allow the resin to
flow and better impregnate the reinforcement. As the temperature or time
increases, the curing reaction starts and the viscosity increases due to the network
formation to finally reach an infinite value at the gel point. The viscosity is
usually measured using a rheometer with different types of geometry, such as
parallel plate, cone and plate, or rotational cylinder.
Similar to the cure kinetic, many models have been developed to capture the cure
effect on the viscosity of thermoset resins. A simple empirical isothermal model
was first developed by Kamal and Sourour [28] for epoxy resins:
Eq. 2-11
where η is the viscosity, η0 is the initial viscosity and is a constant. However,
this model doesn’t take into account the gel point.
Castro and Macosko developed a model expressing the evolution of the viscosity
as a function of the degree-of-cure and the gel point [35]:
Eq. 2-12
where α is the degree-of-cure, αgel is the degree-of-cure at gel point, A and B are
constants.
Kamal developed also a viscosity model based on the Arrhenius relation for
epoxy resins [29]:
Eq. 2-13
where n is the reaction order, Ev is the viscous activation energy, kk is a rate
constant and Ek is the kinetic activation energy.
-16-
2.1.1.3 Glass transition temperature
The glass transition temperature (Tg) significantly affects the resin mechanical
properties as it changes from its rubbery to its glassy state. One of the most
common techniques to characterize Tg uses a modulated DSC (MDSC), where Tg
is identified by a step change in the specific heat [36, 37]. Thermo Mechanical
Analysis (TMA) is another widely used method of measuring the Tg, as a
significant change in the coefficient of thermal expansion is noticed when the
resin goes through the glass transition (Figure 2-2).
The DiBenedetto equation is the most commonly used relationship when
modelling the evolution of Tg with the degree-of-cure for thermoset resins [37-
42]. The relationship is expressed as follows:
Eq. 2-14
where Tg is the glass transition temperature, and are the glass transition
temperatures of uncured and fully cured resin respectively, is the degree-of-cure
and is a constant used as a fitting parameter valued between 0 and 1. Other
researchers fit empirical models to express the variation of Tg with the degree-of-
cure [37].
2.1.1.4 Volumetric changes
As described in Figure 2-2, volumetric changes during the cure can be categorized
as thermal and chemical contributions. The thermal contribution describes the
expansion and contraction due to change in temperature. The chemical
contribution represents the contraction due to the cure shrinkage.
Coefficient of Thermal Expansion
The coefficients of thermal expansion are usually measured by Thermo
Mechanical Analyzer (TMA) [43]. This method allows the measurement of the
CTE above and below Tg. In order to capture the evolution of the resin thermal
-17-
expansion during the cure, Hill et al. [44] expressed first the volume variation of
the resin as a function of the temperature and/or the degree-of-cure:
Eq. 2-15
Eq. 2-16
where CTEr,gel and CTEr,cured are the coefficients of thermal expansion of the
gelled and fully cured resin respectively, and a0 and b0 are linear fit with
temperature.
Ruiz and Trochu [43] expressed also the resin coefficient of thermal expansion as
a function of the temperature and the degree-of-cure in the following manner:
Eq. 2-17
where CTEr,agp is the resin coefficient of thermal expansion after the gel point and
is normalized degree-of-cure given by the following equation:
Eq. 2-18
where αagp is the degree-of-cure after the gel point and αult is the ultimate degree-
of-cure.
Shrinkage
The volumetric cure shrinkage describes the contraction of the resin during the
polymerization, due to the network formation. It is the result of the change from
Van der Waals links to smaller but stronger covalent links between the molecules
as the cure progresses. In the following, volumetric cure shrinkage will be
referred as shrinkage for purposes of brevity.
Measurement of the shrinkage development along the entire curing process is
challenging, as the resin changes from the liquid to the rubbery state and finally
the glassy state. The standard ASTM D2566-79 method to measure resin
shrinkage is based on the resin volume variation before and after the cure without
taking into account the change of resin coefficient of thermal expansion from the
-18-
rubbery to the glassy state [45]. This limitation significantly underestimates the
magnitude of the shrinkage as shown in Figure 2-2. Water or mercury
dilatometers are the most common instruments used to measure shrinkage based
on volume dilatometry [44, 46-48]. With a water-based dilatometer, results may
be influenced by water absorption of the resin and temperature variation [48].
Pycnometers are also employed to measure the volumetric chemical change in a
dry state [49]. However, this method allows only the measurement of the final
shrinkage and not its development during the cure. Non-volumetric dilatometry
methods usually measure the linear shrinkage and rely on various assumptions to
calculate the volumetric shrinkage. The non-volumetric methods regroup various
methods, such as the shadow Moire method [50], Dynamic Mechanical Analysis
(DMA), Thermo Mechanical Analysis (TMA) [51, 52], online monitoring using
LVDT transducers and optical sensors embedded in the resin [53, 54], modified
rheology method [55] or gravimetric method [56].
From these experiments, empirical models have been developed in order to
predict the amount of shrinkage as a function of the degree-of-cure, the radical
concentration or the curing temperature. Linear relationships between the
shrinkage and the degree-of-cure were derived for both polyester and epoxy resin
systems and the total shrinkage was found to be independent of the curing
temperature [44, 55-57].
2.1.1.5 Resin Elastic modulus
Elastic modulus models are important to describe the evolution of the resin
mechanical behaviour during the cure, as the material goes through its liquidy-
rubbery and rubbery-glassy transitions. Dynamic Mechanical Analyzer (DMA) is
a common technique to measure the evolution of the elastic modulus with the
degree-of-cure. Different loading fixtures such as single or double cantilever and
three-point bending can be used on non-cured or pre-cured resin sample [57, 58].
Elastic and viscoelastic models are usually employed to capture this behaviour.
-19-
Elastic models
Despite the known viscoelastic behaviour of the resin throughout a majority of the
cure process, elastic models can predict, most of the time, the process-induced
stresses realistically. According the Svanberg and Holmberg [41], glassy-rubbery
transition are well described by elastic models whereas incremental elastic model
better captures rubbery-glassy transition. Using an incremental approach, Bogetti
and Gillespie [57], Golestanian and El-Gizawy [24], Huang et al. [59] and
Johnston et al. [60] used cure-dependent elastic models to compute resin elastic
modulus during the entire cure. A linear correlation between the resin modulus
and the degree-of-cure was reported in [24, 57, 59]:
Eq. 2-19
where and are the uncured and fully cured modulus of the resin
respectively and α is the degree-of-cure.
In order to capture more accurately the rubbery-glassy transition, Johnston et al.
[60] and Curiel and Fernlund [58] relate the resin modulus with the variable T*,
equal to the difference between the curing temperature and the instantaneous glass
transition temperature, with the following formulation [60]:
Eq. 2-20
where and have the same definition as before, T1 and T2 are constants
representing the onset and the completion of the glass transition. In that case, the
variable T* is expressed as follows:
Eq. 2-21
where is the glass transition temperature of the uncured resin, is a
constant and α is the degree-of-cure.
-20-
Similarly, Ruiz and Trochu [43] take into account the resin elastic modulus
dependence with the degree-of-cure and glass transition temperature using two
functions Fr(α) and Wr(Tg) as follow:
Eq. 2-22
Eq. 2-23
Eq. 2-24
where the subscripts r, c and agp stand for resin, composite and after gel point,
is the normalized degree-of-cure defined in Eq. 2-18, c, d, e, h are some constants
and is the normalized temperature expressed in the following manner:
Eq. 2-25
Where Tg is the glass transition temperature and Tref is a reference temperature.
Viscoelastic models
Viscoelastic models are more realistic than elastic models, as they take into
account the stress relaxation occurring in the resin rubbery state. Wiersma et al.
[61] used both elastic and viscoelastic modulus models to predict the spring-in of
L-shape composite parts and observed closer agreement with the experimental
results using the viscoelastic model. However, the viscoelastic models are more
difficult to develop. Extensive material characterization is needed to determine the
different model variables. Also, for simulation purpose, they lead to long
computational time and heavy computational resources.
Generally, the variation of the modulus or compliance versus time or frequency is
obtained from a series of experiments at specific temperatures and degree-of-cure.
Then each experiment at a specific temperature and degree-of-cure can be shifted
from a factor a, to form the master curve. This shift factor accounts for the
temperature and/or degree-of-cure dependence of the relaxation time. Figure 2-3
describes this time-temperature principle of superposition to get the compliance
master cure.
-21-
Figure 2-3: Example of construction of the compliance master curve using the
principle of time-temperature superposition [62]
William, Landel and Ferry [63] defined first a temperature shift factor aT , as
follows:
Eq. 2-26
where C1 and C2 are material dependent constants, and Tref is the reference
temperature.
This model was used in similar or modified forms in many studies [39, 62, 64-66].
Similarly, Simon et al. [39] developed a conversion shift factor to describe the
dependency of the relaxation time with the degree-of-cure:
Eq. 2-27
-22-
where C and are constants, is the glass transition temperature as a
function of the degree-of-cure and is the glass transition temperature at
the reference degree-of-cure.
2.1.2 Composite thermomechanical properties
Contrary to the resin, the fibres do not react during the cure and their properties
remain constant. Knowing the properties of the composite constituents, i.e. resin
and fibre, micromechanic analytical relations can be used to determine the elastic
moduli and coefficients of thermal expansion of a unidirectional lamina.
For the determination of the elastic properties, the simplest approach used is the
strength of materials approach or rule of mixtures [67]. For this, the following
assumptions are made:
Perfect bonding between the fibres and the matrix.
The fibres are continuous and parallel.
The fibre and the matrix are assumed to be linear elastic materials and
follow Hookes’s law.
The fibres have a uniform strength.
The composite is free of voids.
Considering the representative volume element (RVE) of a fibre surrounded by a
matrix presented in Figure 2-4, and subjected to longitudinal, transverse or in-
plane shear loads, the composite elastic constants can be expressed by the
following equations in the ply orientation.
Figure 2-4: Loading on the representative volume element to determine the elastic
constants: a) longitudinal load, b) transverse load, c) in-plane shear load
-23-
The longitudinal Young’s modulus:
Eq. 2-28
The transverse Young’s modulus:
Eq. 2-29
The major Poisson’s ratio:
Eq. 2-30
The in-plane shear modulus:
Eq. 2-31
where the subscripts f and r stand for the fibre and resin properties respectively,
Vf is the fibre volume fraction, E is the elastic modulus, ν is the Poisson’s ratio
and G is the shear modulus.
With this approach, the predicted values of the longitudinal Young’s modulus E1
and the major Poisson’s ratio ν12 agree well with the experimental data. However,
the predicted values of the transverse Young’s modulus E2 and the in-plane shear
modulus G12 are generally lower than the experimental data [67].
In order to obtain better prediction in the transverse direction, Halphin and Tsai
[68] developed semi-empirical models taking into account the fibre geometry and
the packing geometry. Hashin and Rosen [69] and Whitney and Riley [70]
developed elastic constant relations based on the elastic approach and defining the
effective elastic modulus in terms of the strain energy. Bogettie and Gillespie [57]
and Johnston et al. [60] used this micromechanic elastic approach to compute the
evolution of the composite elastic constant during the cure cycle. In that case, the
elastic constants were expressed as follows:
The longitudinal Young’s modulus:
Eq. 2-32
-24-
The transverse Young’s modulus:
Eq. 2-33
The in-plane shear modulus:
Eq. 2-34
The transverse shear modulus:
Eq. 2-35
The major Poisson’s ratio:
Eq. 2-36
The transverse Poisson’s ratio:
Eq. 2-37
The effective plane strain bulk modulus:
Eq. 2-38
-25-
Figure 2-5: Comparison of experimental values of the transverse Young’s
modulus with the predicted values using the strength of materials approach, the
semi-empirical approach and the elastic approach as a function of the fibre
volume fraction: a) 0 <Vf <1, b) 0.45< Vf <0.75 [67]
-26-
Figure 2-6: Comparison of experimental values of the in-plane shear modulus
with the predicted values using the strength of materials approach, the semi-
empirical approach and the elastic approach as a function of the fibre volume
fraction: a) 0< Vf <1, b) 0.45< Vf <0.75 [67]
Figure 2-5 and Figure 2-6 compared the experimental values of the transverse
Young’s modulus and the in-plane shear modulus respectively with the predicted
values from the micromechanic approaches. The Halphin-Tsai semi-empirical and
the elastic approaches better capture the experimental data whereas, as mentioned
previously, the strength of materials approach predicts lower values.
-27-
Using the strength of materials approach, the composite coefficients of thermal
expansion can be also expressed as function of the properties of the resin and the
fibre in the ply orientation:
Eq. 2-39
Eq. 2-40
As the effect of the shrinkage is similar to a contraction, Eq. 2-39 and Eq. 2-40
can be similarly used to determine the longitudinal and transverse effective
shrinkage of the composite.
2.1.3 Fibre architecture behaviour
For a composite with unidirectional fibres, the laminate mechanical properties can
be predicted using the Classical laminate Theory (CLT). In the case of LCM
process, such as RTM, the use of woven textile reinforcements increased
significantly in the past decades. Woven reinforcements have higher drapability
and better impact resistance than unidirectional fibres that qualify them as good
candidates to manufacture complex structures. Woven fabrics are characterized by
a recurrent in-plane pattern of the interlaced region. Typically, the three main
configurations are plain, twill and satin weaves, as shown in Figure 2-7. In the
plain weave pattern, a warp yarn is interlaced over and under the weft yarns
(Figure 2-7-a), whereas in the twill weave motif, a warp yarn is woven over two
weft yarn and under one weft yarn (Figure 2-7-b). In the satin weave architecture,
the warp yarn is intertwined over ng consecutive weft yarn (ng>2) and under one
weft yarn (Figure 2-7-c). For the satin weave, the number of consecutive weft
yarns ng defined the name of the architecture as (ng + 1)-harness satin weave.
-28-
Figure 2-7: Main weave configurations. a) Plain weave, b) Twill weave and
c) 5-harness satin weave
Hence, to predict the thermomechanical properties of woven composites, more
parameters have to be taken into account. The fibre architecture geometry, the
fibre undulation or the resin distribution throughout the bundles can affect the
mechanical and failure properties of the composite.
Various analytical and numerical approaches have been carried out to investigate
the thermomechanical properties of 2D fabric reinforcements. Analytical models
are generally based on the Classical Laminate Theory. Ishikawa and Chou [71-75]
developed three analytic models to predict the stiffness and coefficient of thermal
expansion of woven fabric composites. The first model, called the mosaic model,
described the fabric as an assemblage of asymmetrical crossply laminates, as
shown in Figure 2-8-a. In that case, no fibre undulation was taken into account.
Therefore, the mosaic model gave good predictions for fabrics with few interlaced
regions, such as satin fabric. The second model, called the crimp model,
accounted for the fibre undulation and fibre continuity (Figure 2-8-b). It used
shape functions to describe the fibre undulation. The crimp model is more suitable
for plain weave composite. Finally the bridging model was developed for satin
woven fabrics in order to describe the properties difference between the straight
threads regions and the interlaced regions (Figure 2-8-c). The straight threads
-29-
region A, B, D, and E have higher in-plane stiffness than the interlaced region C,
and plays the role of bridge for the load transfer. However these models only
considered the undulation in one direction and restrict the two-dimensional (2D)
woven structure to one dimension.
Figure 2-8: Schematic view of the three analytical models for an 8-harness satin.
a) Mosaic model, b) Crimp model, c) Bridging model (adapted from [73])
Naik and Shembekar [76-78] and Naik and Ganesh [79-81] developed a 2D
woven fabric model to predict the elastic properties and the coefficient of thermal
expansion of plain weave reinforcements at the ply and laminate level. The fibre
architecture geometry in the ply, as well as the position of the different plies in the
laminate, with respect to each other, was considered. Their results demonstrated
that the elastic moduli were affected by the undulation length, the ply thickness,
the gap between two adjacent yarns and the laminate configuration. The elastic
-30-
moduli increased with an increase in the undulated length and a decrease in the
ply thickness. Shifts of plies in the laminate configuration gave better in-plane
elastic properties. Also, depending on the fibre architecture and the material
system, an optimum gap could be determined to improve the elastic properties of
the woven composite. The results obtained for the CTE of plain weave woven
laminates were compared to the properties of unidirectional and crossply
laminates. For the same fibre volume fraction, the CTE of the plain-weave
composite were higher than the unidirectional one. But it could be lower or higher
than the CTE of the crossply laminate depending of the fabric strand crimp.
Overall, the authors determined that in the case of plain weave woven fabric,
higher fibre volume fraction and lesser crimp gave a lower CTE and Poisson’s
ratio but higher Young’s and shear moduli. Their analytical results were then
confirmed experimentally [82]. In addition, Hahn and Pandey [83] used geometry
efficiency factors to develop a micromechanics model including the fibre
architecture parameters to predict the thermoelastic properties of plain weave
woven composite.
More recently, finite element analyses (FEA) were used to determine the
mechanical properties of woven composites. The advantage of FEA is that it
provides information on the internal strains, stresses and displacements generated
in the woven fabric. Generally, the analysis is reduced to the behaviour of the
smaller representative element or unit cell. Then periodic boundary conditions are
applied to the unit cell so that it represents the entire reinforcement. Glaessgen et
al. [84] developed a unit cell model to study the internal displacements, strains
and stresses in plain weave composite under axial load. To reduce the
computational time, the global/local finite element method was used in different
studies to model textile composite: a coarse mesh is used on the global structure
and a more refined mesh is applied on local region where rapid changes can occur
[85-87]. Dasgupta and Bhandarkar [88] investigated the influence of the fibre
volume fraction on thermomechanical properties of plain weave composite using
a 3D unit cell model. Their results showed that the stiffness increased with the
-31-
fibre volume fraction whereas the CTE and the Poisson’s ratio decreased. This is
in agreement with some experimental studies [82]. Lomov et al. also validated the
FEA unit cell approach using full-field strain measurement on carbon/epoxy
woven composites and glass/polypropylene woven composites [89]. Finally, the
unit cell representation of woven composite was also used in the analysis and
prediction of process-induced stresses and deformation [24, 25, 59]. For this last
purpose, Svanberg et al. used a “knock down factor” as an alternative method to
reduce the fibre longitudinal modulus and compensate for the fibre weave [26].
The design of the fabric unit cell can be facilitated using textile modelling
software such as WiseTex [90], developed by the Composite Material Group of
the Leuven University, or TexGen [91], developed by Textile Composite Research
group at the University of Nottingham. Knowing the yarn properties, the yarn
interlacing pattern and the yarn spacing within the unit cell, these softwares
determine the unit cell geometry and properties, such as the areal density, the
local fibre content and the fibre orientation. The unit cell geometry can also be
meshed and exported in traditional finite element software to compute the fabric
mechanical properties.
2.2 Sources of residual stresses and deformations
Residual stresses and deformations are one of the major concerns in composite
manufacturing. Residual stresses can lead to a reduction of the composite
structure performance such as strength and fatigue life, and can initiate cracks in
the matrix. As mentioned in CHAPTER 1 section 1.2, the assemblage of
composite structures with deformations can be problematic or impossible, leading
to the reject of the part. The sources of residual stresses and their effects on
composite structures have been widely investigated for over three decades.
Overall four main mechanisms have been identified [92]:
Thermal strains
Resin chemical shrinkage
Tool-part interaction
-32-
Temperature, degree-of-cure and fibre volume fraction gradient
Typically, three common shape variations can occur in a composite part due to
process-induced stresses:
Spring-in or spring-out (Figure 2-9-a), defined as variation of closed
angle, spring-in being a reduction of the initial angle, whereas spring-out
is an increase of the initial angle.
Warpage (Figure 2-9-b), defined as a bending of a flat laminate.
Laminate thickness variations
Figure 2-9 Shape variations due to process-induced stresses: a) spring-in
deformation, b) warpage deformation
In the next sections, the mechanisms leading to the shape distortions are discussed
in more detail.
2.2.1 Thermal strains
Thermal strains were the first studied and probably the most well understood
causes of residual stresses [64, 93-96]. Thermal strains describe the strains arising
due to the difference in thermal expansion at three scales: firstly, between the
matrix and the fibre at the constituent level, second between the longitudinal and
transversal direction at the ply level and finally, between the in-plane and out-of-
plane direction at the laminate level.
-33-
Polymeric matrices have usually higher thermal expansion than fibres (typical
CTE polymer = 50-100 x10-6
ºC-1
, typical CTE fibre = -1-15 x10-6
ºC-1
). This
difference in thermal expansion creates stresses at the microscale between the
matrix and the fibre with a variation of temperature. This micromechanical
stresses can affect the strength and failure of the composite structure, but should
not lead to significant distortions, as their effects remain small and local [92].
At the ply level, the CTE difference between the longitudinal and transverse
directions generates in-plane stresses and deformations in laminates. These
residual stresses and deformations can be predicted and avoided using the
Classical Laminate Theory. For example, using symmetric laminates can prevent
non-symmetric coupling, whereas balance lay-up or crossply laminates can
prevent shear-normal coupling. Finally antisymmetric laminates and crossply
laminates can prevent bending-twisting coupling.
Finally, at the laminate level, the thermal expansion difference between in-plane
direction, dominated by the fibres, and through-thickness direction, dominated by
the matrix, results in the change of curvature for angled laminates. This
phenomenon is also known as spring-in (Figure 2-9-a).
A simple analytical equation, developed by Radford, predicts the angle variation,
, as a function of the temperature variation, , and the in-plane and through-
thickness composite thermal expansion coefficients, and respectively
[97]:
Eq. 2-41
From this equation, it can be predicted that the higher the temperature variation
( is, the higher the spring-in value should be. However, it does not
take into account the difference of the coefficients of thermal expansion above
and below the glass transition temperature, which was shown to be significant in
section 2.1.1.4. Svanberg and Holmberg [98] and Ersoy et al. [99] demonstrated
that the spring-in could increase or decrease with ΔT, depending when the resin
goes through its glass transition. Figure 2-10 describes the paths the resin can take
-34-
while cooling down from the same curing temperature (Tcure). If the resin goes
through its glass transition and reaches its glassy state during the dwell, it will
follow the path A-B during the cool-down, with a glassy CTE. On the other hand,
if the resin does not go through its glass transition, it will still be in a rubbery state
by the end of the isotherm. The resin will then cool-down following the path A-C-
D. The glass transition happens at C, with a significant decrease in CTE. So, for
the same ΔT, the spring-in can be different.
Figure 2-10: Schematic explanation of the spring-in variation as a function of the
resin state, below or above Tg (adapted from [99])
2.2.2 Resin volumetric cure shrinkage
As explained previously, shrinkage is a contraction of the resin due to the
formation of the 3D crosslinked network. In the composite, its effect will be then
more significant in the matrix dominant direction (transverse direction at the ply
level and through-thickness direction at the laminate level). Thus, the shrinkage
difference between the longitudinal and through-thickness directions acts similar
to the thermal contraction (Section 2.2.1) on the residual stresses and
deformations and is a source of spring-in. Shrinkage also has a significant effect
-35-
on composite surface finish quality and can lead to surface defects such as ripples,
sink marks or fabric print through [100].
In order to take into account the effect of shrinkage in the prediction of the spring-
in angle, Radford [97] modified the previous developed analytic equation (Eq.
2-41) as follows:
Eq. 2-42
where ϕl and ϕt are the in-plane and through-thickness composite shrinkage
respectively.
Recently, Ersoy et al. adjusted Eq. 2-25 to take also into account the difference of
resin behaviour before and after the temperature of glass transition [99]:
Eq. 2-43
where and are the in-plane and through-thickness composite
thermal expansion coefficients in the rubbery state, and are the
in-plane and through-thickness composite thermal expansion coefficients in the
glassy state, Tg is the glass transition temperature, Tq is the quenched temperature
and TRT is the room temperature. As previously, ϕl and ϕt are the in-plane and
through-thickness composite shrinkage.
The consideration of shrinkage as a significant cause for residual stresses and
deformation was not always addressed and has evolved considerably in the past
few decades. At first, shrinkage was supposed to have a negligible effect on
residual stresses [42, 64, 93, 94, 96]. Researchers assumed that shrinkage
occurred while the resin was in its rubbery state, and therefore the arising
chemical strains were simply relaxed by the viscoelastic property of the resin in
that state. However, Lange.et al. [101] established that this was not true for all
-36-
resin systems. Using a bi-layer beam bending technique, they measured the built-
up of residual stresses for an epoxy and an acrylate. While the epoxy developed
stress only on cooling below Tg, the acrylate system generated stresses during the
cure above Tg. Many other researchers [41, 57, 97-99, 102-106] took into account
the chemical strains to predict the residual stresses and deformations, even when
the viscoelastic behaviour of the resin was taken into consideration [40, 61].
When taken into account, experimental and numerical studies determined that the
cure shrinkage increased the spring-in value [61, 99, 106].
2.2.3 Tool-part interaction
Tool-part interaction takes into account the effect of the mould on the laminate.
Figure 2-11 presents the tool-part interaction mechanism leading to shape
deformation. During the heat-up of the cure cycle, the mould stretches the
laminate (a), generating shear stresses at the interface between the mould and the
composite and through-thickness stress gradient in the laminate (b). These
interfacial stresses and through-thickness stress gradient generally lead to a
bending of the laminate away from the mould at the demoulding (c). This
particular bending of a flat panel is also known as warpage.
Figure 2-11: Process-induced warpage mechanism due to tool-part interaction
[107]
-37-
The common tool materials used in composite manufacturing are steel and
aluminum and carbon/epoxy. As both steel and aluminum have coefficients of
thermal expansion much higher than the composite, warpage is often observed at
the demoulding stage with these types of mould. On the contrary, composite
moulds create lower shear stresses as they have a low coefficient of thermal
expansion and their behaviour is similar to the part itself. However, composite
moulds are not as stiff and durable as metallic moulds and the part geometry
might not be as reliable.
Radford [102] and Svanberg [98] first introduced the notion of tool-part
interaction. They observed that in the case of the autoclave and RTM process an
increase of the spring-in value that could not be explained by the presence of
thermal or chemical strains. Svanberg [41, 103] developed then numerical models
to predict the observed values of spring-in. Different boundary conditions were
used to simulate the effect of the tool, and frictional contact behaviour appeared to
give the closest agreement with the experiments. Twigg et al [107, 108] studied
experimentally and numerically the effect of tool-part interaction on induced
warpage of unidirectional laminate manufactured by autoclave. An empirical
relationship was used to relate the autoclave pressure and the part aspect ratio to
the induced warpage. The increase of the autoclave pressure increases the residual
stresses or the deformation as it amplifies the contact with the mould, and
therefore the effect of the tool-part interaction. Numerically, the tool-part
interaction was simulated by introducing a “shear layer” between the mould and
the composite part whose elastic properties could be changed to adjust the
property of the interface. Twigg et al. [109] also developed an experimental
approach to quantify the interfacial shear stress during the cure of composite by
autoclave. They defined the interface condition as a combination of stick-slip
behaviour. Potter et al. [110] investigated the presence of residual strains by
measuring the curvature of unidirectional laminate cured in autoclave. Tools were
specially designed to impose an interaction with the composite part. They found
that the high expansion of the mould was the driving factor to induce stress in the
-38-
surface layer of the prepreg and then through the thickness of the prepreg. De
Oliveira et al. [111] investigated experimentally the influence of the mould
material on the development of residual strains using fibre Bragg grating optic
sensors in unidirectional and crossply laminates manufactured by autoclave. In
both cases, they observed higher strains for moulds with higher thermal
expansion. Also, the effect of the autoclave pressure were similar to the one
observed by Twigg et al. [107]. Finally, Fernlund et al. [112, 113] studied the
effect of the tool surface. They found that the use of a FEP release film in addition
to release agent decreased the spring-in and demonstrates the strong influence of
the tool even with the use of release agent.
2.2.4 Property gradients: temperature, degree-of-cure and fibre
volume fraction
Temperature and degree-of-cure through-thickness gradients in the laminate are
generally an issue for thick composite laminates. Usually negligible in thin
laminate, significant temperature gradients can arise in thicker parts as a result of
exothermic resin reaction and low composite thermal conductivity in the
transverse direction. Temperature gradient results in degree-of-cure gradient as
well. Gillespie [57], Huang [59] and Ruiz [104] determined that for thick
composites, temperature and cure progression path affects the magnitude of the
residual stresses and deformation. Actually, high temperature processes produce
an outside-to-inside cure progression, as the composite surfaces cure before the
core. This leads to high residual stresses in the laminate and potentially resulting
in matrix cracking. On the contrary, low temperature process generates an inside-
to-outside cure progression. This type of cure pattern reduces the residual stresses,
but results in long cure progress and low mechanical properties as the part might
not be fully cured. Finally, one-side cure progression, using different temperatures
at the composite surfaces, reduces the process time and the magnitude of the
residual stresses. However, this configuration creates an unsymmetrical residual
stresses distribution and warpage might happen at the demoulding. Therefore,
cure cycles, different from the traditional one used for thin parts, should be used
-39-
to avoid such gradients. Optimized cure strategies based on in-situ temperature
measurements and control of the mould temperature have been proposed for the
autoclave [114, 115], RTM [104, 116] and filament wound structures [117].
The through-thickness fibre volume fraction variation has also an influence on
thin laminates [118]. Such a phenomenon is observed in vacuum bagging
processes, such as autoclave, where the bleeder absorbs the excess of resin while
increasing the fibre volume fraction of the ply at the composite surface. On the
contrary, the ply in contact with the tool is resin rich and has a lower fibre volume
fraction. Radford [119] demonstrates that this fibre volume fraction gradient
creates some warpage in the case of flat panel, as shown in Figure 2-12. Also it
generates an increase in the spring-in angle for convex tooling, but a decrease of
the spring-in value for concave tooling. Similar results have been observed by
Huang et al. [120] and Darrow [118].
Figure 2-12: Process-induced warpage mechanism due to fibre volume fraction
gradient
2.2.5 Secondary effects
Other effects such as the part geometry (shape, thickness, length, corner radius),
or cure cycle (cooling ramp rate, one hold or two holds) can also have an effect on
-40-
the composite part distortion. However, some disagreements exist on the effect of
certain parameters.
Concerning the part geometry, some researchers found experimentally [102, 107,
113] and numerically [121-123] that higher value of spring-in and warpage
occurred for thinner parts, but others did not see a significant difference [61].
Similarly, the effect of the corner radius seems to be controversial. Dong [121]
predicted linear increase of the spring-in with the radius, but others observed only
a small contribution [118, 120]. Jain [105] determined that for a radius-to-
thickness ratio above 1, the spring-in was independent of the radius or the
thickness of the laminate. In addition, the part length also tends to increase the
overall spring-in [107, 113].
The effect of the cure cycle on spring-in was investigated by Fernlund et al. [112,
113]. A two-hold cure cycle with the gelation occurring and the end of the first
hold generated more spring-in than a one-hold cure cycle. However, the cooling
rate did not seem to influence the spring-in value [98].
Most of these secondary effects are the result of the interaction of the four
primary effects explained above. For example the effect of different cure cycles is
related to the state of the resin (rubber or glass) and the coefficient of thermal
expansion in that physical state. Or the effect of the corner radius is related to the
tool-part interaction and the thermal and chemical strains. Therefore, depending
on which primary effects are interacting, the results can be contradictory.
2.3 Process modelling
The sources of residual stresses are multiple and caused by different phenomena.
Hence, in order to consider all these effects, the entire process has to be examined.
Process modelling has been widely used in order to take into account different
phenomena leading the residual stresses and deformations for the entire cure
cycle. The main approach applied in process modelling is to divide the process in
sub-models to study some phenomena independently. An incremental finite
element method (FEM) can be then used in each sub-model to solve the governing
-41-
equations. Generally, for composite manufacturing, the process can be divided
into three independent sub-models: heat transfer and cure kinetics, flow and
compaction, and stress development as shown in Figure 2-13. The material
property models as well as the process variables are the external inputs of the sub-
analyses. The coupling of the sub-model is ensured by using the output of one
sub-model as input for the following sub-model. First developed by Loos and
Springer [96], this approach has been then applied by many other researchers for
the autoclave process [42, 57, 59-61, 64, 95, 122, 124, 125] and the RTM process
[25, 26, 41, 103, 104].
Figure 2-13: Process modelling modular approach
-42-
2.3.1 Heat transfer and cure kinetics
The governing equation solved in this analysis is the Fourier’s heat conduction
equation:
Eq. 2-44
where ρ is the composite density, Cp is the composite specific heat, kij are the
components of the composite thermal conductivity tensor, T is the temperature
and t is the time. is the heat generated during the exothermic chemical reaction
and is related to the resin cure kinetic as follows:
Eq. 2-45
As presented previously in the paragraph 2.1.1.1, the cure rate can be described by
various cure kinetic model.
Initial conditions are then applied to the temperature and the degree-of-cure:
Eq. 2-46
Different boundary conditions such as convective, adiabatic or prescribed
temperature can be applied at the external surface of the system:
Eq. 2-47
where Ts and are the temperature and the normal derivative of the
temperature at the external surface, h is the convective heat transfer coefficient
and T(t) is the cure cycle applied during the process.
An incremental finite element method is then employed to solve the heat transfer
equation with the applied initial and boundary conditions. Thus, the heat transfer
analysis computes the variation of degree-of-cure in the laminate and the change
of temperature in the laminate and the mould using the material properties and the
process cure cycle.
-43-
2.3.2 Flow and compaction
In this analysis, both the behaviour of the composite constituent, the resin and the
reinforcement have to be considered. The general approach to model the resin
flow through the fibre reinforcement is to consider it as flow through a porous
media using Darcy’s law [126]:
Eq. 2-48
where is the Darcy velocity vector, µ is the resin viscosity, is the preform
permeability tensor and is the pressure gradient. As mentioned in paragraph
2.1.1.2, the resin viscosity is a function of the degree-of-cure and the temperature.
The Darcy velocity vector is related to the resin velocity vector as follows:
Eq. 2-49
where ф is the fibre bed porosity.
Eq. 2-48 is valid in the permanent flow regime and saturated porous media, such
as an autoclave process. Assuming a linear resin flow, it can be also generalized
to unsaturated porous media like in the RTM process. In that case, is the Darcy
velocity vector at the unsaturated flow front, is the unsaturated permeability
tensor, which is a function of the fibre volume fraction (Vf) and the fibre
saturation, and is the pressure gradient between the injection points and the
unsaturated flow front [127].
As the flow front advances, the reinforcement is compressed by the resin pressure.
This causes a change in fibre volume fraction which affects significantly the
permeability. The compaction behaviour of the reinforcement is generally
represented by the effective stress formulation used in soil mechanics [128]
expressed as follows:
Eq. 2-50
where σ(t) is the applied stress, is the fibre bed effective stress and P is the resin
pressure.
-44-
In order to solve the coupled equations, initial conditions are applied to the fibre
volume fraction, the resin pressure and the fibre bed effective stress:
Eq. 2-51
Different boundary conditions can be also applied to specify the pressure and the
permeability at the edge of the laminate. An incremental finite element method is
then employed to solve the Darcy’s law and the fibre bed compaction equations
with the applied initial and boundary conditions.
In this work, the RTM process is modelled after the injection phase, once the
preform is fully saturated by the resin. Therefore, the resin flow and the fibre bed
compaction were not considered.
2.3.3 Stresses development
The governing equations of the stress analysis are based on the classical laminated
plate theory. Considering the laminate as a two-dimensional orthotropic material,
the compliance relationship in the ply orientation can be written as follows:
Eq. 2-52
where the subscript l and t refer to the longitudinal and transverse directions, [εxyz]
and [σxyz] are the laminate strains and stresses in the material directions. [S] is the
compliance matrix expressed as follows:
Eq. 2-53
where El and Et are the longitudinal and transverse moduli, νlt and νtl are the
Poisson’s ratio and Glt is the shear modulus.
If the material coordinate system is different from the global coordinate system,
this relation can be transformed to the global coordinate system using the
transformation matrix [T]:
-45-
Eq. 2-54
where [S’] is the compliance matrix in the global coordinate system. The
transformation matrix [T] is expressed as a function of θ which is the angle
difference between the ply coordinate (l, t) to the global coordinate (1,2,3) as
shown in Figure 2-14:
Eq. 2-55
Figure 2-14: Schematic representation of the coordinate systems in ply and the
global orientation
Then, the stiffness relationship can be determined by inverting the compliance
matrix:
Eq. 2-56
where [C’ij] is the stiffness matrix in the global coordinate.
Therefore, the stiffness matrix is a function of the elastic properties of the ply
which can be determined using the micromechanic approaches (Eq. 2-28 to Eq.
2-37) presented in paragraph 2.1.2.
As presented in paragraph 2.2, during the process, strains arise due to thermal and
chemical effects, and the total strain in the laminate is the summation of the
strains caused by these two effects:
Eq. 2-57
-46-
Eq. 2-58
Eq. 2-59
where CTEi and i are the composite coefficients of thermal expansion and
composite cure shrinkage respectively, computed from the micromechanic model
(Eq. 2-39 and Eq. 2-25), ΔT is the temperature variation and is the resin
shrinkage strain variation.
A finite element incremental method is then employed to solve these equations,
assuming that the fibre properties are constant or only function of the temperature
and the resin behaves as a “cure-hardening instantaneous linear elastic” (CHILE)
material. For a given increment, knowing the field of degree-of-cure and
temperature from the heat transfer analysis, the instantaneous composite elastic
constants can be computed using the resin elastic modulus model and the
micromechanic approach. Similarly, the thermal and chemical strains can be
computed for a given increment knowing the resin thermal and shrinkage
behaviour with the temperature and the degree-of-cure and using the
micromechanic approach. The stresses in the laminate can be then calculated from
the classical laminated theory Eq. 2-56. Then the laminate strains and stresses
development during the cure cycle are obtained by adding the total strains and
stresses of the consecutive increments:
Eq. 2-60
Eq. 2-61
In this manner, the evolution of the strains and stresses can be computed for the
entire cure cycle, taking into account the thermomechanical properties of the
composite constituents.
-47-
2.3.4 COMPRO Component Architecture (CCA)
In this work, the commercial finite element software ABAQUS and the COMPRO
Component Architecture (CCA) were used to model the RTM process based on
the approach described above. The CCA, developed by Convergent
Manufacturing Technology Inc., is a subroutine allowing the interface between
the material properties and the ABAQUS finite element solver as shown in Figure
2-15. Using the material model database, it computes the evolution of the material
properties (resin, fibre and composite) at each increment as described above, and
transfers them to the ABAQUS finite element solver which computes the strains
and stresses using the classical laminated plate theory. Due to the ABAQUS
structure, two analyses are required to model the manufacturing process. First, a
heat transfer analysis is performed to determine the temperature and degree-of-
cure fields of each integration point in the model. Then, a stress analysis is solved,
using the temperature and degree-of-cure history computed in the previous
analysis, to determine the strains, stresses and displacements caused by the cure
cycle.
Figure 2-15: ABAQUS/COMPRO structure
-48-
2.4 Literature review summary and objectives
As presented from the previous sections, process-induced stresses and
deformations have been widely studied experimentally, analytically and
numerically. Figure 2-16 presents a brief summary of the different aspects
investigated in the past researches on process-induced stresses and deformations.
Figure 2-16: Summary of the investigations on process-induced stresses and
deformations
-49-
The following conclusions can be drawn:
1) The majority of the studies concerned the autoclave process (Figure 2-16-
a). Only few addressed the issue of residual stresses and dimension change
for the RTM process.
2) The different sources of process-induced stresses and deformations are
clearly identified in the literature (Figure 2-16-b). The main investigations
focussed on the thermal strains, the resin cure shrinkage and the tool-part
interaction. However, in a majority of case, these different aspects were
not considered simultaneously.
3) Most of them focused on unidirectional carbon reinforcements and epoxy
resin (Figure 2-16-c). Despite their increasingly use in the industry, only
few researches investigated the woven reinforcements and the effect of the
fibre architecture on the development of the residual stresses.
4) Finally, most of these studies considered simple geometries, such as flat or
angled structures and few examined more complex structures (Figure
2-16-d).
Concerning the RTM process, Table 2-1 details the main studies carried out on
the process-induced stresses and deformations. Most of the works were performed
on glass fibre reinforcements with epoxy resin and took into account the effect of
the thermal strains and the resin shrinkage. However the effect of the tool-part
interaction was not very well investigated.
The importance of the development of constitutive material models was also
addressed in the first section of this literature. Accurate material models are
essential in order to capture more realistically the behaviour and evolution of the
material during the manufacturing process.
-50-
Table 2-1: Studies on process-induced stresses and deformations for the RTM
process
Sou
rces
of
resi
du
al
stre
sses
Oth
er
Fib
re
wav
ines
s
Tem
per
atu
re
gra
die
nt
Tem
per
atu
re
gra
die
nt,
Vf,
Geo
met
ry
Deg
ree-
of-
cure
an
d V
f
gra
die
nt
Tool-
part
inte
ract
ion
Per
fect
bo
nd
ing
X
Sh
rin
kage
X
X X
X
Th
erm
al
stra
ins
X
X
X
X
X
Mate
rial
epoxy /
5H
S
Car
bon w
oven
fabri
c
Epoxy /
Gla
ss
woven
fab
ric
Poly
este
r /
Unid
irec
tional
gla
ss f
ibre
Epoxy /
Unid
irec
tional
gla
ss f
ibre
Poly
este
r /
gla
ss
mat
and n
on
crim
p g
lass
fab
ric
Geo
met
ry
Tap
ered
geo
met
ry
L-s
hap
ed
bra
cket
,
C-s
par
stru
cture
Fla
t pan
el
Sin
gle
stif
fener
stru
cture
Fla
t pan
el
Exp
erim
enta
l
/ N
um
eric
al
Nu
mer
ical
Ex
per
imen
tal
and
num
eric
al
Nu
mer
ical
Nu
mer
ical
Ex
per
imen
tal
and
num
eric
al
Ref
eren
ces
Gole
stania
n a
nd
El-
Gaza
wy
[24, 25]
Sva
nber
g a
nd
Holm
ber
g
[26, 41, 98
, 103]
Anto
nucc
i et
al.
[116]
Dong e
t al.
[121]
Ruiz
and T
roch
u
[43, 10
4]
-51-
In the light of the above, the current thesis investigates the process-induced
residual stresses and deformation of 5-harness satin woven composite structures
manufactured by RTM. In order to achieve this goal, the following objectives
were considered:
1) Resin characterization: implementation of a methodical approach to
characterize the processing properties of the RTM one-part epoxy resin
and develop the resin constitutive models.
A particular emphasis should be set on the volumetric cure shrinkage and
the thermal expansion of the resin and the composite, as these parameters
have a significant influence on the dimensional stability.
2) Effect of the fibre architecture: Investigation of the influence of the 5-
harness satin carbon reinforcement architecture on the composite
thermomechanical properties.
3) Tool-part interaction: Investigation of the tool-part interaction for the
RTM process experimentally using fibre Bragg grating sensors (FBG) and
numerically using a finite element modelling.
4) RTM process modelling: Implementation of the constitutive material
models into a finite element model to predict the geometrical variations
such as spring-in or warpage. The main sources of residual stresses and the
different phenomena involved in the RTM process are taken into account
simultaneously.
-52-
CHAPTER 3 Characterization of the Resin Thermomechanical Properties As presented in CHAPTER 2, accurate material constitutive models are essential
in order to realistically capture the behaviour and evolution of the material during
the manufacturing process. In this chapter, the characterization steps and the
development of the material constitutive models of a commercial epoxy resin are
detailed. Supplied by Cytec, the CYCOM 890RTM epoxy [129] is a low viscosity
resin developed especially for the RTM process. It is a one part system reacting at
high temperature. It can be injected at 80ºC with a viscosity of 0.390 Pa.s, and its
typical cure cycle is two hours at 180ºC. No complete characterization has
previously been performed on the CYCOM 890RTM epoxy, and no constitutive
material models were available in the literature.
3.1 Characterization methodology
Figure 3-1 presents the methodical approach developed in order to investigate the
processing properties of thermoset resins and applied on the CYCOM 890RTM
epoxy resin. First, thermal stability tests are conducted to determine the resin
temperature processing window (step 1). The curing behaviour is then
investigated in order to obtain the evolution of the degree-of-cure, α, as a function
of time and temperature (step 2). The resin rheological behaviour (step 3a) and the
glass transition temperature Tg (step 3b), are then measured as a function of the
degree-of-cure. Next, knowing the resin rheological behaviour, the cure
shrinkage, εV, is determined as a function of the degree-of-cure (step 4a). The
coefficient of thermal expansion (step 4b) and the resin modulus (step 4c) are
expressed as a function of the glass transition temperature. Finally, the developed
material constitutive models can be implemented in any finite element software
(step 5) to predict the final properties of a composite structure as a function of the
cure cycle used.
-53-
Figure 3-1: Characterization procedure for the thermoset resin
The next sections present in details the characterization steps and the development
of the material constitutive models.
3.2 Thermal stability and cure kinetics (step 1 and 2)
3.2.1 Thermal stability (step 1)
Tests performed
Thermal stability tests were carried out on a Thermal Gravimetric Analyzer
(TGA) Q500 from TA Instruments. A temperature ramp at 20ºC/min from 25ºC to
700ºC was applied to a 12.24 mg sample. The sample was under nitrogen from
-54-
25ºC to 550ºC and air from 550ºC to 700ºC. A three-hours isothermal test was
also performed at 180ºC under nitrogen.
Results and Analysis
The corresponding weight variation, under the dynamic and isothermal
conditions, is presented in Figure 3-2 and Figure 3-3 respectively. For RTM
processing, the temperature will not exceed 200ºC. At this temperature, a weight
loss of 1.2% caused by the evaporation of volatiles present in the resin was
measured under dynamic conditions. The resin thermal stability was confirmed by
a weight loss of less than 2.1% after a three hours isothermal experiment at 180ºC.
Therefore, the resin is not subjected to significant degradation during its typical
cure cycle.
Figure 3-2: Resin weight variation with temperature from a TGA dynamic test at
20°C/min
-55-
Figure 3-3: Resin weight variation for three hour at 180ºC
3.2.2 Cure kinetics (step 2)
Tests performed
The resin cure kinetics was measured with a Modulated Differential Scanning
Calorimeter (MDSC) Q100 from TA Instruments. The testing conditions were
chosen based on typical processing conditions suggested by the manufacturer.
Dynamic scans with heating rates of 1ºC/min and 2°C/min, from 25ºC to 250ºC,
and isothermal scans at 160ºC, 170ºC, 180ºC and 190°C, were performed on
uncured neat resin sample. Isothermal tests were followed by a dynamic ramp in
temperature in order to measure the residual heat of reaction. Each testing
condition was carried out up to three times in order to verify the result
reproducibility (Appendix A). As mention in the literature review, CHAPTER 2,
section 2.1.1.1, the measured heat, generated while the resin reacts, can be related
to its cure rate and the degree-of-cure. The cure kinetic model is then the relation
that expresses the cure rate as a function of the degree-of-cure.
-56-
Results and analysis
Figure 3-4 shows the heat flow profile measured by DSC during a dynamic
experiment. The total heat of reaction, HT, was calculated by integrating the area
under the curve. For this epoxy resin, the average HT is 430 25 J/g for 4
samples. Each sample weights 5.25 0.1 g. Figure 3-5 present the evolution of
the degree-of-cure and the cure rate for the isothermal tests. The maximum cure
rate is obtained for a degree-of-cure of 0.5. At temperatures lower than 180ºC, the
degree-of-cure does not reach 1.0 due to the diffusion effect. Therefore, the
autocatalytic cure model with a diffusion factor, developed by Hubert et al. was
chosen to describe the evolution of the degree-of-cure with time and temperature
[33]. This model, expressed by the following equation, gave a good correlation
with the experimental data:
Eq. 3-1
where k is a rate constant following an Arrhenius temperature dependency:
Eq. 3-2
Figure 3-4: Typical heat flow of a Dynamic Scanning Calorimetry dynamic test at
2ºC/min
-57-
Figure 3-5: Comparison of experimental data and predicted cure kinetics model
for isothermal tests: a) degree-of-cure with the time, b) cure rate as a function of
the degree-of-cure
From Eq. 3-1 and Eq. 3-2, the activation energy Ea was determined by calculating
the slope of versus 1/T at low degree-of-cure ( = 0.1), as shown in
Figure 3-6. Using the data under isothermal conditions, as presented in Figure 3-7,
-58-
a linear relationship was observed between the ultimate degree-of-cure ( max) and
the glass transition temperature Tg. C0 and CT were defined as the fitting
parameters from the linear fit. The step change in the specific heat (Cp) measured
by modulated DSC was used to identify Tg. The other parameters, A, n, m, and C
were calculated using a least squares non-linear regression between the cure rate
and the degree-of-cure for all tested temperature conditions. The values are
presented in Table 3-1.
Figure 3-6: Cure rate as a function of inverse absolute temperature at low degree-
of-cure (α = 0.1) under isothermal conditions
-59-
Figure 3-7: Ultimate degree-of-cure under isothermal conditions as a function of
the glass transition temperature
Table 3-1: Cure kinetic model constants
Model constants
A (s-1
) 58528
Ea (J/mol) 68976
n 0.6
m 0.63
C 15.66
αC0 -0.90
αCT (K-1
) 0.0039
Figure 3-5 compares the experimental data measured by DSC for four isothermal
temperatures with the predictions obtained with the kinetics model (Eq. 3-1). The
variations of the resin degree-of-cure with time and the rate of cure as a function
of the degree-of-cure are presented in Figure 3-5-a and Figure 3-5-b, respectively.
The cure kinetics model accurately predicts the resin cure evolution for the
different isothermal cases considered. The goodness of fit is reflected by R2
values above 0.965 as shown in Figure 3-5-b. The prediction for the dynamic
conditions is presented in Figure 3-8. A good agreement for the cure rate
-60-
prediction is obtained up to 190ºC and 220ºC at temperature ramp of 1ºC/min and
2ºC/min respectively. After those points, the cure kinetic model predicts a faster
decrease in cure rate than measured experimentally. Since the processing
temperature is below 190ºC, this discrepancy is not a point of concern.
Figure 3-8: Comparison of experimental data and predicted cure kinetics model
for dynamic tests
3.3 Rheological behaviour (step 3a)
Tests performed
Rheological measurements were performed with an AR2000 rheometer from TA
Instruments. Since this epoxy was not previously characterized, the Linear
Viscoelastic Region (LVR) was first determined. A strain sweep test is initially
performed, followed by a time sweep test. These two tests are presented in
Appendix A. For this particular epoxy, the optimal oscillatory conditions to
remain in the LVR were found at 15% strain and 1Hz.
-61-
Dynamic scans at heating rates of 1°C/min, 2°C/min and 3°C/min and isothermal
scans at temperatures of 80°C, 170°C, 180°C and 190°C were performed on
uncured neat resin sample, using a 40 mm parallel plate geometry in oscillatory
mode at 15% strain and 1 Hz. Each testing condition was carried out up to five
times in order to verify the result reproducibility Appendix A.
Results and analysis
Figure 3-9 and Figure 3-10 show the evolution of the viscosity under different
dynamic and isothermal conditions. First the resin viscosity decreases as the
temperature increases, until it reaches a minimum value. After a certain time, the
viscosity increases quickly. This sharp increase in viscosity corresponds to the gel
transition. The equality between the storage and loss shear moduli, G’ and G”,
was used as criterion to determine the gel point [130]. As shown in Figure 3-11, at
the curing temperature of 180ºC, the gel point occurred around 72 minutes in
average.
Figure 3-9: Evolution of the measured and predicted viscosity with temperature
for rheological dynamic tests at three temperature rates
-62-
Figure 3-10: Evolution of the measured and predicted viscosity with time for
rheological isothermal tests
Figure 3-11: Determination of the gel point at 180ºC
A model taking into account the influence of both the temperature and the degree-
of-cure was used to characterize the rheological behaviour of the resin. The
-63-
following equation presents the modified gel model used to describe the evolution
of the resin viscosity [131]:
Eq. 3-3
Eq. 3-4
where is the degree-of-cure at the gel point, and Aµi, Eµi, A’, B’ and C’ are
constants. From the temperature-time history measured for each rheological test,
the degree-of-cure of the resin was calculated using the cure kinetics model (Eq.
3-1) and the gel point was determined as αgel = 0.7. Although this value can seem
relatively high for an epoxy resin, similar results were obtained by O’Brien and
White [38]. Furthermore, this resin was developed for the RTM process which
requires a long gel time in order to maximize injection time. Eq. 3-4 can be also
expressed as a linear relationship between the viscosity and the inverse of the
temperature:
Eq. 3-5
From Eq. 3-5, a linear regression was then used to calculate the constants Aµ1, Eµ1
and Aµ2, Eµ2, using the dynamic data and the isothermal data respectively before
the gel point. The other parameters, A’, B’ and C’ were calculated using a least
squares non-linear regression between the viscosity and the temperature. The
values of the different parameters are reported in Table 3-2.
Figure 3-9 and Figure 3-10 compare the predicted and measured viscosity
evolution with time and temperature. The viscosity model (Eq. 3-3) accurately
predicts the onset of resin gelation and the evolution of resin viscosity with
temperature and degree-of-cure, with a R2 value superior to 0.80. From Figure
3-10, it is shown that the resin remains liquid even after three hours at the
recommended injection temperature of 80°C. A typical RTM injection lasts less
than 30 minutes, so no gelation will occur during this time.
gel
-64-
Table 3-2: Viscosity model constants
Model constants
Aµ1 (Pa.s) 9.81x10-19
Aµ2 (Pa.s) 6.41x10-3
Eµ1 (J/mol) 115305
Eµ2 (J/mol) 12074
A’ -0.5
B’ 1
C’ 3.5
αgel 0.7
3.4 Glass transition temperature (step 3b)
Tests performed
Three different methods were used to measure the glass transition temperature:
MDSC, TMA and the rheometer in torsion mode.
With the MDSC technique, Tg is identified by a step change in the specific heat,
during the dynamic ramp following an isothermal test, whereas with the TMA, it
is identified by a change in CTE.
Using the rheometer in torsion mode, the glass transition temperature can be
determined by observing the three modulus based indicators: the onset of a sharp
drop in the storage modulus G’, the peak in the loss modulus G” and the peak in
the tan δ. A succession of dynamic tests was performed at 5ºC/min to 180ºC
followed by a short isotherm in an oscillatory mode at 0.1% strain and 1Hz on
solid samples pre-cured to an initial degree-of-cure 1, manufactured as explained
in Appendix A. The chosen heating rate of 5ºC/min was low enough to ensure
thermal equilibration between the rheometer and the sample but high enough to
avoid large changes in degree-of-cure at higher temperatures. Once the glass
transition temperature was measured, the sample was cured to a known degree-of-
cure 2 and quickly cooled down to room temperature. The procedure was then
repeated from 2 to a higher 3 and so on, so that the Tg was measured for
different values of degree-of-cure (Table A-2).
-65-
Results and analysis
The evolution of the Tg with the degree-of-cure was modeled with the
DiBenedetto equation (Eq. 2-14). , the parameter associated with fully cured
resin, was determined as the highest recorded glass transition temperature. , the
glass transition temperature of uncured resin, was determined by MDSC testing,
by heating an uncured resin sample from -50ºC to 25ºC. The fitting parameter λ
was calculated using a least squares non-linear regression between the values of
Tg determined at the peak of tan δ and the degree-of-cure. The DiBenedetto
constants are presented in Table 3-3. This model accurately predicts the evolution
of the glass transition temperature, with a R2 value of 0.999. The value of the
fitting parameter is close to the expected value found by other researchers for
thermosetting resins ( = 0.4 [132]).
Table 3-3: DiBenedetto model constants
Model constants
(ºC) -14.23
(ºC) 213.75
0.396
Figure 3-12 compares the predicted and measured glass transition temperatures
with the degree-of-cure. The DiBenedetto equation captures the trend of the Tg
obtained with different methods well. Differences between the testing methods
were expected as the glass transition passage does not affect thermodynamic and
mechanical properties at the same point, but rather occurs over a range of
temperatures.
-66-
Figure 3-12: Comparison of glass transition temperatures measured with
Modulated Differential Scanning Calorimeter, Thermo Mechanical Analyzer and
rheometer in torsion mode and the predicted values obtained with the DiBenedetto
model
3.5 Volumetric changes during cure (step 4a and 4b)
As explained in CHAPTER 2, the volumetric changes of a thermoset resin are a
combination of chemical effects (shrinkage) and thermal effects (coefficient of
thermal expansion, CTE). Since volumetric changes are one of the main causes of
dimensional variability and residual stress development during the cure of
composite materials, a special attention was set on their characterization.
3.5.1 Cure shrinkage (step 4a)
Two different methods, the modified rheology method and the gravimetric
method, were applied to measure the shrinkage of the CYCOM 890RTM epoxy
resin.
-67-
Principle
The modified rheology method [55] is a simple test, easy to setup. It measures the
shrinkage after the gel point using a rheometer with parallel plate geometry. A
controlled normal force is applied to maintain the contact between the plates and
the resin sample while the gap variation between the parallel plates is measured.
The linear shrinkage is first determined based on the change in gap between the
parallel plates (i.e. sample thickness) with the following equation:
Eq. 3-6
where εL is the linear shrinkage, is the resin Poisson’s ratio, h is the value of the
gap at a given time and h0 is the initial value of the gap. Assuming that the in-
plane strains in the resin are zero and that the resin is incompressible ( = 0.5), the
linear shrinkage can be converted to volumetric shrinkage with the following
equation:
Eq. 3-7
where is the volumetric shrinkage, h0 is the initial value of the gap and h is the
value of the gap at a given time.
The gravimetric method, more complex, measures the change in buoyancy of a
resin in a known fluid at a controlled cure temperature to determine the shrinkage
[56]. It is based on the Archimedean principle which links the mass, the volume
and the density of solid bodies immersed in liquid as follows:
Eq. 3-8
where ms is the mass of the solid, mfl is the mass of the fluid, ms(air) is the mass of
the solid in air, ms(fl) is the mass of the solid in the fluid, ρs is the density of the
solid and ρfl is the density of the fluid.
v
-68-
During cure under isothermal conditions, resin shrinkage causes an increase in
density that can be detected by the change in buoyancy. The buoyancy is
monitored by measuring the apparent change in weight of the immersed sample.
Therefore, the shrinkage can be expressed as follows:
Eq. 3-9
where is the apparent resin weight change, ρfl,Tfl is the density of the fluid
at the actual fluid temperature Tfl and Vr,Tc is the volume of the uncured resin at
the curing temperature Tc.
Tests performed
For the modified rheology method, the shrinkage measurements were performed
with an AR2000 rheometer from TA Instruments with 25 mm diameter plates as
shown in Figure 3-13-a. The initial sample thickness was 1 mm ± 0.05 mm. Tests
were carried out at three different isothermal cure temperatures, 160ºC, 170ºC and
180ºC, to avoid thermal expansion phenomena, and the normal force was set to
0.1N. Three to four experiments were performed for each temperature for
reproducibility purposes.
The experimental procedure was divided in two steps. In the first step, the
rheometer was set in a gap control mode as the resin was in its liquid state: the
value of the gap was controlled and kept constant to his initial value h0 and no
normal force was applied. The maximum strain was set at 15% with a frequency
of 1Hz in order to be in the Linear Viscoelastic Region (LVR) of this epoxy resin.
When the viscosity reached 500 Pa.s, the second step or normal force control
mode was initiated. In this step, the resin has gelled and can withstand pressure
without flowing. The normal force (FN) was kept constant to 0.1N, a maximum
torque of 500 µN.m at a frequency of 30 Hz was also applied and the actual gap h
was measured.
The gravimetric method required pre-experiment preparation and was delicate to
operate as sources of error can be easily introduced. According to Schoutens
rr VV
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[133], the main sources of error of common immersion techniques are: air bubbles
adhesion to the sample surface causing an artificial increase in buoyancy, effect of
surface tension on the wire supporting the specimen and temperature fluctuation.
In this study, the experimental procedure developed by Li et al. [56] shown in
Figure 3-13-b, was modified as follows. Two resin samples were immersed
simultaneously in one litre of Dow Corning 200-100 silicone fluid at constant
temperature. The samples had a mass of 2.45 ± 0.1 g to minimize temperature
changes due to the exothermal curing reaction. One specimen was linked to an
Ohaus precision scale, model AV114C, with a capacity of 110g ± 0.0001g, used
for the weight measurement. The second resin specimen had a type K
thermocouple embedded for resin temperature monitoring. A thermocouple was
also immersed in the silicone fluid. High temperature Nylon 6 bagging film was
used to enclose the resin. In their experimental set-up, Li et al. were moulding thin
silicone bags with a silicone mould rubber. These bags had first to be pre-
conditioned before use as they were swelling in silicone oil. They were then
sealed using machined aluminum plugs and a binding sleeve. In order to decrease
the time of this preparation phase, Nylon 6 bagging film was used and came out
to be more user-friendly while meeting the required specifications. The Nylon 6
bagging film appeared to have a better dimensional stability in the silicone fluid
with the temperature and to be resilient enough to pick up any volumetric change.
Therefore no pre-conditioning was needed before running experiments. Its
standard thickness inferior to 0.1 mm allowed a quick heat up of the resin to the
curing temperature as well as a quick dissipation of the exothermic heat. It can be
used for cure up to 205ºC. An impulse bag sealer was used to seal it, so that no
external material was introduced to close the bags and entrapped air was easily
removed. Nylon bags were hanged from the weight below hook with a steel wire
and a Kevlar thread. The steel wire was used to avoid surface tension effect and
fluid absorption and minimize potential source of error. Kevlar thread was used to
link the scale to the steel wire and avoid heat transfer to the scale. A heating
blanket regulated by temperature controllers was used to heat up the silicone bath
two hours before the experiment in order to have a uniform fluid temperature.
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Experiments were carried out at 160ºC, 170ºC and 180ºC for three to four hours.
Three to four tests were performed for each temperature for reproducibility
purposes. A data acquisition system from National Instruments (NI 9211) was
used to record the temperatures and a RS232 cable was used to connect the
precision scale to the computer. A Labview interface was used to simultaneously
record the temperatures and the apparent weight.
Figure 3-13: Shrinkage measurement methods set-up: a) modified rheology, b)
gravimetric.
Results and analysis
Figure 3-14 shows the parallel plate gap and the normal force variation during a
typical modified rheology test at 180ºC. During the gap control, the normal force
increased, implying an expansion of the resin sample. As the rheometer
temperature was kept constant, this expansion was caused by the heat released
during the exothermic reaction creating locally an increase in temperature. A K-
type thermocouple placed at the center of the plate, in the middle of the sample,
measured a 1ºC increase of the resin temperature and confirmed this phenomenon.
Nevertheless, the increase in temperature occurred during the first hour of the
experiment when the resin was liquid. As the shrinkage was measured during the
normal force control step, for more than four hours, this variation of temperature
did not affect the results. In the normal force control step, the normal force was
set to 0.1N. The gap started to decrease due to the shrinkage until it reached a
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constant value. The shrinkage was then calculated using the gap variation in Eq.
3-7.
Figure 3-14: Gap and normal force variation for a typical modified rheology test
for an isothermal cure at 180ºC
Figure 3-15 shows the measured variation of shrinkage with time for samples at
three isothermal temperatures (160ºC, 170ºC, 180ºC). The average total
volumetric shrinkage was 3.36% ± 0.2% which is in the range usually found for
epoxy resins (2%-7%) [51, 56]. The curing temperature had not a significant
influence on the total volumetric shrinkage which was consistent with the work by
Haider et al. [55] and Li et al. [56]. Figure 3-16 presents the shrinkage as a
function of the degree-of-cure, obtained from Dynamic Scanning Calorimetry
(DSC) experimental data. After the gel point, the variation of the shrinkage is a
linear function of the degree-of-cure which is in agreement with previous studies
[44, 55, 56]. Thus the resin shrinkage can be modelled as follows:
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Eq. 3-10
where α is the resin degree-of-cure, αgel is the degree-of-cure at gelation, εV is the
volumetric shrinkage, and A” is a constant. The degree-of-cure at gelation, αgel =
0.7, was determined from the cure kinetic model (section 3.2.2). For each
temperature, the constant A” was calculated using a least squares method for
linear regression. The fitting constants and the R2 values are listed in Table 3-4.
As shown in Figure 3-15 and Figure 3-16, this model agreed overall well with the
experimental data at 170ºC and 180ºC. However, at 160ºC, the model
underestimated the shrinkage where the shrinkage onset occurred before αgel =
0.7. The shrinkage occurring before αgel is not taking into account by the model,
which explains the difference between the measured and predicted values at that
temperature.
Figure 3-15: Evolution of the measured resin shrinkage by the modified rheology
method and predicted values with time under isothermal conditions
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Figure 3-16: Evolution of the measured resin shrinkage by the modified rheology
method and the predicted values as a function of the degree-of-cure under
isothermal conditions
Table 3-4: Curve fitting constants for the shrinkage model obtained by the
modified rheology method (Eq. 3-10) and R2 values for isothermal experiments
Isothermal experiments A” (%) R2
160ºC
170ºC
180ºC
Average
12.29
12.68
12.28
12.42
0.993
0.995
0.995
Figure 3-17 to Figure 3-19 show the temperatures and sample apparent weight
variation recorded during the gravimetric method. First, the apparent weight
decreased as the resin sample expanded and reached the isothermal temperature
equilibrium. After 20 to 30 minutes, the apparent weight started to increase due to
the shrinkage development until it reached a maximum. At 160°C, the exotherm
due to the curing reaction was negligible (<1ºC). At 170ºC and 180ºC, an increase
of the resin temperature of 3ºC and 6ºC respectively was noticeable. The
temperature increase caused a thermal expansion of the sample, and therefore
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increased the sample buoyancy while decreasing its apparent weight. However, no
decrease of the resin apparent weight was visible as the exotherm occurred. Thus,
the effect of the thermal expansion was considered negligible compared to the
shrinkage and thus was not accounted in the calculation.
Figure 3-17: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 160ºC
Figure 3-18: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 170ºC
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Figure 3-19: Resin weight and temperature variation for a typical gravimetric test
for an isothermal cure at 180ºC
The variation of the shrinkage, computed from the weight change (Eq. 3-9), with
time and degree-of-cure is presented in Figure 3-20 and Figure 3-21, respectively.
As in the previous method, the degree-of-cure was obtained from DSC
experimental data (section 3.2.2). The result of Figure 3-21 corroborates the
conclusion obtained with the previous method: curing temperature has no
influence on the evolution of the shrinkage. The resin shrinkage followed a bi-
linear relationship with the degree-of-cure expressed as follows:
Eq. 3-11
where α is de degree-of-cure, αi is the degree-of-cure at the inflection point, εV is
the volumetric shrinkage and A1, B1, C1 and D1 are the model constants. A least
squares method for linear regression was used to calculate the constant A1, B1, C1
and D1 reported in Table 3-5.
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Figure 3-20: Evolution of the measured resin shrinkage by gravimetric method
and predicted values with time under isothermal conditions
Figure 3-21: Measured and predicted cure shrinkage for isothermal tests with the
gravimetric method
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Table 3-5: Bilinear curve fitting constants for the shrinkage model obtained by the
gravimetric method (Eq. 3-11)
Linear equation 1 Linear equation 2 Inflection
A1 (%) B1 (%) R2 C1 (%) D1 (%) R
2 i
160ºC
170ºC
180ºC
Average
7.78
7.86
8.64
8.10
-0.40
-0.54
-0.13
-0.35
0.994
0.992
0.996
13.93
19.38
22.85
18.72
-4.69
-9.58
-11.99
-8.75
0.986
0.990
0.984
0.70
0.77
0.82
0.77
The rate of volumetric shrinkage increased after the inflection point (A=8.10%
and C=18.72% before and after the inflection point respectively). The resin
reached a volumetric shrinkage of 6% before the transition point and kept
increasing up to 10%. Therefore it can be assumed that the change in the
volumetric cure shrinkage rate at the inflection point corresponded to the gelation
phenomenon. Similar results have been observed in previous studies for a MY750
epoxy resin [56] or nonconductive adhesives with a thermomechanical analyzer
[51]. The change in shrinkage rate can be related to the polymer chain movement
and molecular rearrangement. Before the gelation, polymer chains are free to
move and rearrange and the induced deformation can be accommodated by the
resin flow. After the gelation, the resin transforms from liquid to solid and
develops a mechanical modulus. Molecular rearrangement remains significant but
the mobility of the polymers chains is greatly reduced. At this point, the
deformations induced by the molecular rearrangement cannot be dissipated by the
resin flow inducing a higher shrinkage rate.
Figure 3-22 to Figure 3-24 compare the evolution of the shrinkage obtained with
the modified rheology and the gravimetric methods. The modified rheology
method measured only the shrinkage after the gel point. From Figure 3-21, it
appears that the shrinkage measured with the gravimetric method was actually
5.39% ± 0.4% at the gel point (αgel = 0.7). Therefore, an initial shrinkage of
5.39% was added to the results obtained by the modified rheology method. The
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shrinkage after the gel point measured by the two methods was in good agreement
especially at 160ºC and 170ºC. At 180ºC, the rate of the shrinkage increase
measured with the gravimetric method was slightly higher compared to the
modified rheology method. This phenomenon could be explained by the small
exotherm taking place at 180ºC (Figure 3-19). The 6.5°C temperature overshoot
could lead to an increase of the cure rate and consequently the shrinkage rate.
Also, the potential release of the volatiles present in the resin in form of gas was
not taken into consideration for the shrinkage characterization using the
gravimetric method. The release of the volatiles can indeed affect the sample
buoyancy leading to an increase in the apparent weight and therefore an increase
in the measured shrinkage. Even if very low void level was observed on the cured
sample at the end of test, this issue might explain the shrinkage discrepancy
observed between the modified rheology method and the gravimetric method.
Figure 3-22: Comparison of the two shrinkage measurement methods with
degree-of-cure at 160ºC
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Figure 3-23: Comparison of the two shrinkage measurement methods with
degree-of-cure at 170ºC
Figure 3-24: Comparison of the two shrinkage measurement methods with
degree-of-cure at 180ºC
-80-
These results validate the use of a simple method, the modified rheology method,
to measure the shrinkage after gelation. However, the gravimetric method
demonstrates that the shrinkage occurring before gelation is not negligible and can
represent up to one half of the total shrinkage. The arising shrinkage before
gelation does not induce residual stresses as the resin is in the liquid state and can
flow. However, shrinkage prior to gelation can lead to surface finish defects such
as fabric print through in closed-mould process (i.e. Resin Transfer Moulding)
where no pressure is applied after the injection to the composite part to
compensate the shrinkage effect.
3.5.2 Coefficient of thermal expansion (step 4b)
Tests performed
Tests were carried on a TMA 2940 from TA Instruments. The influence of the
curing temperature and the degree-of-cure was investigated using fully and
partially cured resin samples. The samples were prepared with the rheometer with
40mm plates. Release agent was applied on each plate to ensure an easy
demolding. The curing temperatures considered were 160ºC, 170ºC and 180ºC,
and the influence of the degree-of-cure was observed after the gel point, from α =
0.8 to α =1. Then the 40mm disk was cut in smaller samples of about 5mm by 5
mm and 1mm thick. Three to four cycles from room temperature up to 250ºC,
then back down to room temperature, at a rate of 3ºC/min were performed for
each sample. A normal force of 0.05N was applied on the probe in order to
maintain contact with the sample.
Results and analysis
Figure 3-25 and Figure 3-26 show a typical experiment applied on one sample and
the determination of its CTE. From Figure 3-25, a difference between the first
cycle and the two last cycles can be noticed. During the first cycle, both thermal
expansion and cure shrinkage occur due to the advancement of the degree-of-cure
with temperature. During the last two cycles, the relative dimensional changes,
, are similar, only thermal expansion takes place. Thus, the CTEs were
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measured using the heating part of the cycles excepting cycle 1. Figure 3-26
represents the heating part of cycle 3. The sample relative dimensional change
evolves linearly with the temperature and the slope corresponds to its CTE. The
curve inflection corresponds to the glass transition of 197ºC. As expected, the
resin CTE increases as the sample evolves from the glassy to the rubbery state.
Figure 3-25: Resin relative dimensional change with temperature of a neat resin
sample with an initial degree-of-cure 1 of 0.883
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Figure 3-26: Resin relative dimensional change during the heating part of cycle 3
at 3ºC/min
Figure 3-27 presents the variation of the measured coefficient of thermal
expansion with the degree-of-cure, after the gel point, from α = 0.8 to α = 1. It can
be noticed that the CTE remains constant with the degree-of-cure below the glass
transition temperature, but decreases with the degree-of-cure above the glass
transition temperature. Below Tg, the resin is in its glassy stage, the movement of
molecules is very limited. The network formation has no influence on the
expansion of the resin. The CTE remains low and constant with the increase of the
degree-of-cure. However, above Tg, the movement of the molecules increases and
is less limited. In this case, the network formation will have a bigger influence on
the molecule mobility by reducing it. Due to this higher mobility, the CTE above
Tg is higher than the CTE below Tg, and decreases with the increase of the degree-
of-cure.
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Figure 3-27: Variation of the coefficient of thermal expansion with the degree-of-
cure before and after the glass transition
The glass transition temperature is thus an important parameter for the evolution
of the CTE. Taking example from the expression of elastic modulus as a function
of T* [58, 60], the evolution of the CTE was plotted as a function of the difference
between the instantaneous and glass transition temperature, T*=T-Tg, in Figure
3-28. The same reasoning used for the evolution of the CTE with the degree-of-
cure can be employed. Far below Tg, the CTE remains low and constant with the
increase of temperature as the movement of the polymer chain is limited.
However, as the temperature increases and get closer to the glass transition
temperature, the movement of the molecules increases and the CTE starts to
increase linearly. The following model was developed to describe this evolution
using least squares method for linear regression:
Eq. 3-12
where CTEglass is the resin CTE in the glassy state, A0 and T’ are two constants.
The model constants are expressed in Table 3-6.
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Figure 3-28: Evolution of the measured and predicted CTE as a function of T*,
for 3ºC/min heating rate up to different temperatures
Table 3-6: Coefficient of thermal expansion model constants
Model constants
CTEglass (ºC-1
) 5.97 10-5
A0 (ºC-2
) 7.54 10-6
T’ (ºC) -20.4
3.6 Elastic modulus (step 4c)
Tests performed
The torsion mode of the rheometer was used to capture the evolution of the elastic
modulus with the cure. As described previously in section 3.4, this method
enables to follow the change of the shear moduli, G’ and G” with the temperature.
Knowing the cure kinetics of the epoxy resin, the shear moduli can be related to
the degree-of-cure as well. Then, assuming that the resin is isotropic and that the
variation of the Poisson’s ratio with the temperature and the degree-of-cure has a
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negligible influence on the shear modulus [43, 57], the shear modulus can be
related to the tensile modulus with the following equation:
Eq. 3-13
where E is the tensile modulus, G is the shear modulus and is the Poisson’s
ratio.
The manufacturer’s data sheet listed a room-temperature tensile modulus E of 3.1
GPa, and the average shear modulus G of the resin at room temperature was
measured to be 1.30 GPa. Therefore, using Eq. 3-13, the Poisson’s ratio was
determined to be 0.2, which is in the expected range for cured epoxy resins.
Partially cured neat resin samples to a known degree-of-cure 1 (Table A-3),
manufactured using the same method as described in Appendix A, were tested
with specific cure cycles designed to reach a fully cured state.
Results and analysis
As expected, and shown in Figure 3-29, the evolution of the modulus was very
sensitive the glass transition temperature. A significant decrease in the modulus
was observed as soon as the sample reached the glass transition region and
changed from glassy to rubbery state (T>Tg). Then the modulus remained low
until vitrification. Once the specimen passes the vitrification (T<Tg), its elastic
modulus started to increase as it evolved from the rubbery to the glassy state.
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Figure 3-29: Evolution of the elastic modulus with temperature and time for a
resin sample with an initial degree-of-cure 1 of 0.846
As the glass transition temperature is an important factor in the evolution of the
modulus, a resin modulus model was developed as a function of the difference
between the instantaneous cure and glass transition temperature, T*=T-Tg [58, 60]
and can be represented as shown in Figure 3-30. This model can be expressed as
follows:
Eq. 3-14
with using Eq.2-14.
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Table 3-7 presents the values of the fitting parameters obtained with the least
squares non linear regression method which give the best agreement with the
experimental data. Figure 3-31 compares the experimental and predicted resin
modulus obtained at 160ºC and 180ºC. Overall, the model captured both the onset
of the modulus decrease due to the glass transition and the vitrification at different
curing temperatures, with R2 values above 0.78.
This model neglects the viscoelastic characteristic of the resin. This can be
justified due to the slow curing process of the studied resin, which enables the
relaxation of the internal stresses generated before the vitrification. On the
contrary, in the case of a fast curing material system, the generated internal
stresses don’t have time to be relaxed and a modulus viscoelastic model have to
be considered.
Figure 3-30: Resin modulus model as a function of difference between
instantaneous and glass transition temperature (T*=T-Tg)
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Table 3-7: Parameters values of the elastic modulus model
Parameters Values
gel
T1
T2
T3
T4
E1
E2
E3
E4
AM
KM
0.700
-150ºC
-15.18ºC
-7ºC
5ºC
3.20 109 Pa
1.50 109 Pa
1.11 109 Pa
1.30 107 Pa
9.0 107 Pa
0.4ºC
Figure 3-31: Measured and predicted elastic modulus with time under two curing
temperatures, 160ºC and 180ºC
3.7 Summary and discussion
In this chapter, a comprehensive methodology was applied to characterize the
processing properties of the CYCOM 890RTM epoxy resin. The detailed
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procedure and techniques presented can be applied to intensive characterization
purpose of a wide range of thermoset resins.
The model parameters obtained from each characterization technique showed
close agreement with the experimental data.
1) A cure kinetics model taking into account the diffusion phenomena was
found to accurately predict resin cure kinetics behaviour for the Resin
Transfer Moulding processing condition range.
2) A chemorheological model was developed to accurately predict the onset
of resin gelation and the evolution of resin viscosity with temperature and
degree-of-cure.
3) The DiBenedetto equation was found to describe the cure dependence of
Tg well.
4) A two-phase linear model was used to predict the cure shrinkage
behaviour of the resin before and after the gel point in the same processing
condition range. A change in the shrinkage rate was detected due to the
liquid-solid transition.
5) Finally, two models taking into account the influence of Tg were
determined to describe the coefficient of thermal expansion and the elastic
modulus evolution during the cure, respectively. Far below Tg, the CTE
remained constant, whereas a linear variation of the CTE was found for
temperatures close and above Tg.
Two different methods were used to characterize to resin shrinkage. The first
method, a modified rheology method, involved a simple procedure to measure the
volumetric shrinkage after gelation with a rheometer and parallel plate geometry.
The second more complex method used the change in buoyancy of an immersed
sample in a fluid at constant temperature to determine the volumetric shrinkage
during the entire cure. Both methods measured the same amount of shrinkage
after gelation. Depending on the resin system and its manufacturing process, it is
possible to define which characterization method is more suitable to perform
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shrinkage measurement using two parameters: the degree-of-cure at gel point,
αgel, and the gel time, tgel.
1) For low αgel or short tgel (αgel < 0.2 or tgel < 10 min), the modified rheology
method is more appropriate to characterize the shrinkage evolution of the
resin. In that case, most of the shrinkage will occur after the gelation, and
the modified rheology method will be a simple but accurate way to capture
its evolution. As this method does not require sample preparation, even
resin with shorter processing window (tgel < 5 min) can be tested.
2) For high αgel or long tgel (αgel > 0.5 or tgel > 30 min), the gravimetric
method, less user friendly, is more appropriate as up to half of the total
shrinkage can occur before gelation and need to be measured. Resin
systems with long gel time are more suitable as the sample preparation can
take up to 10 minutes.
3) For intermediate αgel or tgel values, both methods can be used depending
on the amount of information desired.
This phenomenal approach provides a clear understanding of the resin processing
behaviour. In the next chapters, the developed material models will be then
implemented in a finite element software, ABAQUS/COMPRO CCA, to solve
coupled thermochemical-stress processing problems, to predict the final properties
of a composite structure manufactured by RTM.
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CHAPTER 4 Thermomechanical properties of fabric composites
After a detailed characterization of the resin properties, this chapter outlines the
influence of the fibre architecture on the elastic and thermal properties of
composite material. The reinforcement investigated in this study was a 5-harness
satin woven reinforcement made of G30-500 6k carbon fibre [134, 135].
The properties of woven fabric composite are usually modelled using the
properties of unidirectional crossply laminates. The influence of the fibre
waviness is therefore not taking into account. In order to verify the validity of this
assumption and determine how the fibre waviness affects the composite
properties, the thermomechanical properties of a 5-harness woven fabric and a
unidirectional crossply reinforcement were investigated using a micromechanical
approach on periodic units or unit cells with the finite element method. Knowing
the properties of the composite constituents (fibre and resin), the analysis of the
unit cell or smallest representative volume element (RVE) enables the
determination of the global properties of the composite structure. Three fibre
volume fractions (Vf) typical for the RTM process (between 50% and 62%) were
analyzed. For both unit cells, the fibre arrangement in the yarns was assumed to
be similar and follow a hexagonal packing. Table 4-1 presents the different types
of reinforcement studied and their respective fibre volume fractions. In order to
achieve the desired fibre volume fraction for the unit cells, the yarn fibre volume
fraction had to be modified as reported in Table 4-1. The following methodology
was then used to determine the thermomechanical properties of the crossply and
5-HS woven fabric unit cell as shown in Figure 4-1.
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Table 4-1: Types of reinforcement and their fibre volume fractions
Unit cell
Unit cell fibre
volume fraction
(Vf)
Yarn fibre volume
fraction (YVf)
Unidirectional crossply
62% 86%
55% 77%
50% 70%
5-Harness satin (5HS) woven
fabric
62% 86%
55% 77%
50% 70%
Figure 4-1: Applied methodology to determine the thermomechanical properties
of the unidirectional crossply and 5-harness woven fabric unit cells
The yarn thermomechanical properties were first determined using the properties
of the G30-500 6k carbon fibre and the cured CYCOM 890RTM epoxy listed in
Table 4-2 in the hexagonal unidirectional unit cells. The epoxy resin was
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considered isotropic and the carbon fibres orthotropic. The yarn fibre volume
fraction investigated were 70%, 77% and 86%. Then, these computed yarn
properties were used as input to the unidirectional crossply and 5-HS woven unit
cells at 50%, 55% and 62% fibre volume fraction.
Table 4-2: Carbon fibre and epoxy resin thermomechanical properties
Carbon fibre
G30-500 6k [134, 135]
Epoxy resin
CYCOM 890RTM [129]
E1,f = 230 GPa
E2,f = E3,f = 22 GPa Er = 3.1 GPa
ν12,f = ν13,f = 0.3
ν23,f = 0.35 νr = 0.3
G12,f = G13,f = 22 GPa
G23,f = 8.15 GPa Gr = 1.2 GPa
CTE1,f = -0.7x10-6
ºC-1
CTE2,f = CTE3,f = 8x10-6
ºC-1
CTEr = 55x10
-6 ºC
-1
*The subscripts f and r stand for fibre and resin respectively.
1, 2 and 3 correspond to the three principal direction of the material
4.1 Unit cell models
4.1.1 Unidirectional unit cell
An dimensionless unidirectional unit cell was modelled with a hexagonal packing
as seen in Figure 4-2. A circular cross section was assumed for the fibres.
Keeping a constant size for the unit cell, the fibre radius r was modified in order
to obtain the required Vf using the following relation:
Eq. 4-1
where L, w and h are the length, width and height of the unit cell.
The calculated radius values are presented in Figure 4-2 to obtain the 70%, 77%
and 86% fibre volume fraction required.
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The global coordinate system of the unit cell is represented by the axes (1, 2, 3).
Two material sections were defined for the resin and the fibre and a local
rectangular coordinate system (x, y, z) was created to apply the carbon fibre
orthotropic properties. This local system was based on three fixed points of the
geometry A, B and C, where A is the origin, B is a point lying on the x-axis and C
a point lying on the y-axis. The unit cell was meshed using 28990, 35640 and
30320 three-dimensional solid elements, type C3D8. The C3D8 element is an 8-
node linear brick element used for stress/displacement problems. Its degrees-of-
freedom are the displacements in the x-, y- and z- directions.
Figure 4-2: Unidirectional unit cell finite element model
4.1.2 Crossply unit cell
The dimensionless crossply unit cell model and its dimensions are shown in
Figure 4-3. Again a circular cross section was assumed for the fibres. In order to
achieve the desired fibre volume fraction, the fibre radius was kept constant and
the yarn fibre volume fraction was varied as described in Table 4-1. 68800 three-
dimensional 8-node solid elements, type C3D8, were used. Two material sections
were defined for the resin and the fibre. In order to identify the fibre orientations,
-95-
two local rectangular coordinate systems, (x, y, z) and (x’, y’, z’), were created,
based on two sets of three fixed points of the geometry. The points A, B and C
were used to define the (x, y, z) coordinate system, and A’, B’ and C’ the (x’, y’,
z’) one, where A and A’ correspond to the origin, B and B’ are points lying on the
x and x’-axes respectively, and C and C’ define the y and y’-axes.
Figure 4-3: Crossply unit cell finite element model
4.1.3 5-harness satin unit cell
The development of the 5-harness satin woven unit cell was done in three steps.
First, the dimensions of actual unit cells were observed and measured. Then the
measured dimensions were applied to a preliminary unit cell model. From the YVf
and Vf obtained with this preliminary model, the dimension of the unit cell were
adjusted to the desired Vf.
Three unit cells were cut from a four plies laminate, manufactured by RTM with
the G30-500 6k 5HS carbon fibre and the CYCOM 890RTM epoxy. The length,
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width and thickness were first measured using a digital calliper. The cross section
of one unit cell was then observed under an optical microscope with the
magnification x50 in order to obtain the yarn dimensions. The cross section is
shown in Figure 4-4 wherein ellipsoidal yarn cross sections were observed. The
measured unit cell dimensions are reported in Table 4-3.
Figure 4-4: a) Cross-section of a 4 plies laminate, G30-500 6k carbon
fibre/CYCOM 890RTM epoxy resin, observed by optical microscope (x50), b)
detail of a yarn
Table 4-3: Measured dimensions of a 5-harness satin unit cell
Dimensions
Length (mm) 11.89 0.085
Width (mm) 11.21 0.151
Thickness (mm) 1.33 0.006
Yarn width (mm) 2.28 0.04
Yarn thickness (µm) 178 0.128
The laminate fibre volume fraction was determined to 62% using the following
equation [136]:
Eq. 4-2
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where is the fabric ply areal weight, ρf is the fibre density, n is the number of
plies and t is the laminate thickness. A fabric ply areal weight of 370 g/m2 and the
fibre density of 1.78 g/cm3 were provided by the manufacturer. Similarly, the
nominal ply thickness can be determined for each considered fibre volume
fraction using Eq. 4-2, as reported in Table 4-4.
Table 4-4: Nominal ply thickness as a function of the fibre volume fraction
Fibre volume fraction (Vf) Ply thickness (mm)
62% 0.34
55% 0.38
50% 0.42
Average 0.38
From these observations, a preliminary 5-harness satin fibre architecture was
developed with the following dimensions 11 mm x 11 mm x 0.38 mm. Because of
the 5-harness satin pattern, five yarns with a 170 µm thickness were positioned
along both the width and the length with a 0.2 mm gap in between the adjacent
yarns. This led to a yarn with a 2 mm width. The 5-harness satin architecture was
then created using TexGen [91], a software dedicated to the modelling of textile
structure in three dimensions. Based on the volumes generated by TexGen, the
YVf was estimated for each desired Vf using the following relationship:
Eq. 4-3
As shown in Table 4-5, it appeared that the 5-harness unit cell with the dimension
cited previously resulted in yarn fibre volume fraction of 95% for a global fibre
volume fraction of 62%. This YVf seems too high and not representative of what
can happen experimentally. Therefore the dimensions of the unit cell were slightly
modified to 12 mm x 12 mm x 0.36 mm. The gap between the adjacent strands
was set to 0.05 mm leading to a yarn width of 2.35 mm. With these modifications,
the yarn fibre volume fraction decreased to 86% at a fibre volume fraction of
62%, which seems more realistic.
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The unit cell volumes were then imported and meshed in a finite element
software. The mesh and the dimensions of the final unit cell are presented in
Figure 4-5. Once again, two material sections were defined for the resin and the
fibres and two local rectangular coordinate systems, (x, y, z) and (x’, y’, z’), were
created in order to identify the fibre orientations. To account for the fibre
waviness, these local systems were defined using the local numbering of each
element, so that the out-of-plane axes remained always normal to the element
surface, as shown in Figure 4-5-c. 11872 three-dimensional solid 8-node
elements, type C3D8, were used to mesh the geometry.
Table 4-5: Dimensions and characteristics of the preliminary and final 5-harness
satin unit cell
Preliminary 5-HS unit cell Final 5-HS unit cell
Vf (%) 62 55 50 62 55 50
Unit cell length
(mm) 11 11 11 12 12 12
Thickness
(mm) 0.38 0.38 0.38 0.36 0.36 0.36
Yarn width
(mm) 2 2 2 2.35 2.35 2.35
Yarn thickness
(µm) 170 170 170 170 170 170
Gap (mm) 0.2 0.2 0.2 0.05 0.05 0.05
Yarn volume
(mm3)
29.87 29.87 29.87 37.24 37.24 37.24
Unit cell volume
(mm3)
45.98 45.98 45.98 51.84 51.84 51.84
Yarn volume
fraction (%) 95 85 77 86 77 70
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Figure 4-5: 5-harness satin unit cell: a) unit cell finite element model and
dimensions, b) yarn dimensions, c) schematic representation of the fibre
orientation along a yarn
4.2 Boundary conditions
4.2.1 Periodic constraints
The unit cell is a periodic unit representative of the global composite structure. In
other words, the global composite structure can be represented by a succession of
in-plane adjacent identical unit cells. Therefore continuity in displacement must
be satisfied at the unit cell boundaries to ensure that the adjacent unit cells cannot
be separated or superposed [137-140]. This means that the opposite faces of the
unit cell should deform identically and remain parallel to each other to maintain
the periodicity for any loading conditions. In order to fulfill this condition,
periodic constraints were applied on the nodes of the opposite faces. This required
-100-
first that the number of nodes on opposite faces and their distribution were
identical. Once an identical node distribution was ensured using the same mesh
seed on opposite faces, a simple program written in MATLAB was used to pair
the nodes having the same in-plane position, on opposite faces and edges. Then,
constraint equations were applied in term of displacements on each pair of nodes
to ensure the periodicity in the three global directions.
In the following, ui represents the displacement in the ith
-direction (i=1,2,3), Fj
represents the nodes on the face j, excluding the edges and corners nodes, Ekl
corresponds to the nodes located on the edge sharing the faces k and l, excluding
the corners nodes, and finally, Njkl stands for the corner node sharing the faces j, k
and l. The described notations are illustrated in Figure 4-6.
Figure 4-6: Unit cell faces, edges and corners notations
Then, the periodic constraint equations for the opposite faces were defined as
follows [137]:
Eq. 4-4
Eq. 4-5
Eq. 4-6
-101-
These equations ensure that the opposite faces F1 and F2, F3 and F4, F5 and F6
remain parallel for any loading conditions.
The periodic constraints on the opposite edges, to ensure that they remain parallel
for any boundary conditions, were expressed in the following manner [137]:
Eq. 4-7
Eq. 4-8
Eq. 4-9
Eq. 4-10
Eq. 4-11
Eq. 4-12
Eq. 4-13
Eq. 4-14
Eq. 4-15
4.2.2 Loading cases
Each model was loaded under seven different cases: three axial strains, three shear
strains and one temperature change to determine the nine engineering constants
and the coefficients of thermal expansion in the three directions. The axial and
shear strains were applied through fixed displacements on the corner nodes of the
unit cell.
-102-
Figure 4-7: Boundary conditions: a) for an axial loading, b) for a shear loading, c)
for a thermal loading
The axial strains simulated material tensile tests in the three global directions 1, 2
and 3. Normal displacements ui were applied to each corner nodes of the faces F2,
F4 and F5 while the opposite faces F1, F3 and F6 were fixed in the three directions.
For example, in the 1-direction, the corner nodes of F1 are fixed in the three
directions, while identical displacements u1 were applied at each nodes of F2 in
the 1-direction. The displacement of the corner nodes of F2 was also prevented in
the directions 2 and 3 as shown in Figure 4-7-a. These axial loadings enable the
determination of the three elastic moduli E1, E2 and E3 and the Poisson’s ratio ν12,
ν13 and ν23.
The shear strains were simulated by applying tangential displacements uj to each
corner nodes of the faces F2, F4, F5 while the opposite face F1, F3 and F6 were
-103-
constrained in the three directions. For example for the shear load in the 1-2
direction, the corner nodes of F1 were fixed in the three directions, and the corner
nodes of F2 were subjected to a displacement u2 in the 2-direction. The corner
nodes of F2 were also constraint in the directions 1 and 3 as shown in Figure 4-7-
b. These shear loads allow the determination of the shear moduli G12, G13 and G23.
Finally, an increase in temperature from 25ºC to 150ºC was applied to the unit cell
models in order to determine the coefficients of thermal expansion in the three
global directions. Each corner nodes of the faces F1, F3 and F6 were fixed in the
direction 1, 2 and 3 respectively as shown in Figure 4-7-c.
4.3 Thermomechanical properties
4.3.1 Determination of the thermomechanical properties
4.3.1.1 Elastic properties
Using the Hooke’s law, the constant of the stiffness matrix were first determined:
Eq. 4-16
For each loading cases, knowing the applied axial displacement ui or tangential
displacement uj, and the dimension of the unit cell li, the applied strain to the unit
cell, εij, was determined as follows:
Eq. 4-17
The stresses were calculated by dividing the reaction forces obtained at the fixed
corner nodes by the area of the face they belong.
Eq. 4-18
-104-
Once all the independent constants of the stiffness matrix were calculated, the
stiffness matrix was inversed to obtain the compliance matrix. From the
compliance matrix, the elastic moduli, shear moduli and Poisson’s ratio can be
extracted using Eq. 4-19.
Eq. 4-19
4.3.1.2 Coefficients of thermal expansion
The coefficient of thermal expansion in the ith
-direction, CTEi, is the ratio between
the strain in the ith
-direction, , and the variation in temperature, ΔT, as expressed
below:
Eq. 4-20
Similarly as mentioned previously, the strain was calculated using Eq. 4-17,
where the displacement ui,j corresponds to the measured displacement at the
corner nodes due to the thermal load.
4.3.2 Unidirectional unit cell thermomechanical properties
Table 4-6 presents the values of the elastic and shear moduli, Poisson’s ratios and
coefficients of thermal expansion, obtained numerically with the method
described above, in the case of the unidirectional unit cell. The material properties
of the carbon fibre and the epoxy resin, listed in Table 4-2, were used as input for
-105-
the finite element model. As expected, the elastic and shear moduli increase with
an increase in the fibre volume fraction, whereas the coefficients of the thermal
expansion decrease with an increase in fibre volume fraction.
Table 4-6: Comparison of the numerical and analytical values obtained for the
nine engineering constants and the coefficients of thermal expansion of the
unidirectional unit cell
Vf = 86% Vf = 77% Vf = 70%
Numerical
results
Theoretical
values
Numerical
results
Theoretical
values
Numerical
results
Theoretical
values
E1 (GPa) 198.18 198.23 177.95 177.81 161.76 161.93
E2 (GPa) 14.83 11.87 11.73 9.16 9.98 7.78
E3 (GPa) 14.82 11.87 11.73 9.16 9.98 7.78
ν12
ν13
ν23
0.300
0.300
0.354
0.300
0.300
-
0.300
0.300
0.356
0.300
0.300
-
0.300
0.300
0.362
0.300
0.300
-
G12 (GPa) 10.47 6.42 6.78 4.41 5.29 3.55
G13 (GPa) 10.45 6.42 6.78 4.41 5.29 3.55
G23 (GPa) 5.49 - 4.33 - 3.66 -
CTE1
(x10-6
ºC-1
) -0.57 -0.58 -0.47 -0.47 -0.37 -0.38
CTE2
(x10-6
ºC-1
) 14.32 16.88 19.44 22.58 23.50 27.01
CTE3
(x10-6
ºC-1
) 14.32 16.88 19.44 22.58 23.50 27.01
The numerical property values were compared to the analytical values obtained
with the strength material approach presented in CHAPTER 2, section 2.1.2. As
expected the analytical values underestimate the material mechanical properties in
the transverse direction, and good agreements were found in the longitudinal
direction. The stress distributions for the unidirectional unit cell at 70% fibre
volume fraction are presented in Figure 4-8 for the axial and shear loadings.
Similar stress distributions were observed at 77% and 86% fibre volume fractions.
-106-
Figure 4-8: Axial and shear stress distributions of the unidirectional unit cell at
70% fibre volume fibre
These elastic constants and coefficients of thermal expansion, obtained from the
unidirectional models, were used as input for the yarn properties at different fibre
volume fractions in the crossply and 5-harness satin models.
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4.3.3 Crossply and 5-harness satin unit cells thermomechanical
properties
The material properties of the epoxy resin listed in Table 4-2 were used as input
for the resin properties for the finite element models. In those models, the yarn
fibre arrangement was assumed to be hexagonal, and the yarn fibre volume
fractions different from 1. Therefore, as explained previously, the material
properties of the unidirectional models, listed in Table 4-6, were used as input for
the fibre properties in the finite element models.
Table 4-7: Engineering constants and coefficients of thermal expansion obtained
for the crossply unit cell for different fibre volume fractions
Vf = 62% Vf = 55% Vf = 50%
Yarn Vf 86% 77% 70%
E1 (GPa) 76.78 68.83 62.29
E2 (GPa) 76.78 68.83 62.29
E3 (GPa) 9.93 8.71 7.94
ν12
ν13
ν23
0.037
0.369
0.369
0.035
0.374
0.374
0.035
0.380
0.380
G12 (GPa) 4.96 3.91 3.36
G13 (GPa) 3.60 3.09 2.77
G23 (GPa) 3.60 3.09 2.77
CTE1 (x10-6
ºC-1
) 1.75 2.12 2.50
CTE2 (x10-6
ºC-1
) 1.76 2.14 2.52
CTE3 (x10-6
ºC-1
) 35.77 41.51 46.09
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Table 4-8: Engineering constants and coefficients of thermal expansion obtained
for the 5-harness satin unit cell for different fibre volume fractions
Vf = 62% Vf = 55% Vf = 50%
Yarn Vf 86% 77% 70%
E1 (GPa) 74.24 65.95 59.44
E2 (GPa) 74.31 65.95 59.44
E3 (GPa) 9.50 8.42 7.72
ν12
ν13
ν23
0.059
0.380
0.380
0.056
0.384
0.384
0.054
0.388
0.388
G12 (GPa) 7.32 4.95 3.97
G13 (GPa) 3.32 2.91 2.65
G23 (GPa) 3.32 2.91 2.65
CTE1 (x10-6
ºC-1
) 1.62 2.04 2.49
CTE2 (x10-6
ºC-1
) 1.62 2.03 2.48
CTE3 (x10-6
ºC-1
) 37.55 42.92 47.31
Table 4-7 and Table 4-8 present the engineering constants and the coefficients of
thermal expansion of the crossply unit cell and the 5-harness satin unit cell
respectively. As expected, the properties of the crossply and the 5-harness satin
are orthotropic with E1=E2, ν13=ν23, G13=G23 and CTE1=CTE2. In both cases, the
elastic properties of the unit cells increased with an increase in the fibre volume
fraction, whereas the coefficients of thermal expansion decreased with Vf. The
stress distributions, in the case of axial and shear loadings, of the crossply and 5-
HS unit cells at 50% fibre volume fraction are presented in Figure 4-9 and Figure
4-10 respectively. Similar stress distributions were observed at 55% and 62%
fibre volume fractions.
-109-
Figure 4-9: Axial and shear stress distributions of the crossply unit cell at 70%
fibre volume fraction
-110-
Figure 4-10: Axial and shear stress distributions of the 5-HS unit cell at 70% fibre
volume fraction
Figure 4-11 to Figure 4-15 compare the value of the elastic moduli, the shear
moduli, Poisson’s ratios and the coefficients of thermal expansion obtained for the
crossply and 5-harness satin unit cells. From Figure 4-11, it can be noticed that
the in-plane elastic moduli, E1 and E2, are slightly smaller for the 5-harness satin
unit cell than for the equivalent unidirectional crossply unit cell. This is due to the
fibre undulation that reduces the fibre strength in the in-plane directions. No
difference between the two unit cells was noticed for the through-thickness elastic
modulus E3 because of the matrix-dominated behaviour in that direction.
On the other hand, the in-plane shear modulus G12 is noticeably higher for the 5-
harness satin than for the crossply as shown in Figure 4-12. This behaviour is
caused by the yarn interlacing in the 5-harness satin woven reinforcement. As for
the through-thickness elastic modulus, the out-of-plane shear moduli, G13 and G23,
are comparable for the crossply and 5-harness satin composites. An in-plane
-111-
modulus of 64 GPa and an in-plane shear modulus of 4.3 GPa were determined
experimentally by the manufacturer for a 55% fibre volume fraction carbon epoxy
laminate with the CYCOM 890RTM epoxy resin and a 5HS woven fabric with
similar properties to the G30-500 6k carbon fibre. These experimental values are
similar to the one obtained numerically.
As presented in Figure 4-13, the in-plane 5-harness satin Poisson’s ratio values,
ν12, are higher than those of the corresponding crossply laminate at the same Vf,
again as a result of the fibre undulation. Similarly the out-of-plane Poisson’s ratio
values, ν13 and ν23, are higher for the 5-harness satin composite than the crossply
unit cell.
Finally, concerning the thermal properties presented in Figure 4-14 and Figure
4-15, the 5-harness satin laminate gives slightly higher through-thickness CTEs
than the crossply laminate, and comparable in-plane CTE were observed.
Figure 4-11: Elastic modulus comparison for the crossply unit cell and the 5-
harness satin unit cell
-112-
Figure 4-12: Shear modulus comparison for the crossply unit cell and the 5-
harness satin unit cell
Figure 4-13: Poisson’s ratios comparison for the crossply unit cell and the 5-
harness satin unit cell
-113-
Figure 4-14: In-plane coefficients of thermal expansion comparison for the
crossply unit cell and the 5-harness satin unit cell
Figure 4-15: Through-thickness coefficients of thermal expansion comparison for
the crossply unit cell and the 5-harness satin unit cell
-114-
These results are in agreement with previous experimental and numerical studies
on the thermomechanical behaviour of plain weave fabric composites by Naik and
Ganesh [79-82]. Their investigation demonstrates that the thermomechanical
properties of plain weave laminate are dependent of the architecture strand crimp
and the gap between adjacent strands. Lower strand crimp results in lower CTE
values for the plain weave laminate compare to the crossply laminate and the
Young’s modulus of woven laminate with small gap is slightly smaller than the
one the of crossply laminate with the corresponding Vf. The 5-harnes satin model
can be considered as a low strand crimp woven laminate, and therefore the results
obtained agree well with those conclusions.
The coefficients of thermal expansion were also measured experimentally. Four
5-harness satin plies laminate, with the layup [(0/90)(90/0)]s was manufactured by
RTM. The fibre volume fraction, Vf, was related to the cured specimen thickness
using Eq. 4-2. The sample thickness was measured at three to five different
locations with a calliper. A fibre volume fraction of 59.4% was determined. Using
a precision diamond saw, the laminate was cut into 12x12 mm unit cells. Then,
TMA tests were carried out to measure the coefficients of thermal expansion in
the three directions. A force of 0.05N was applied to the probe to ensure a
constant contact with the composite sample. Three cycles from room temperature
up to 220ºC, then back down to room temperature, at a rate of 3ºC/min were
performed for each sample. The results are reported in
Table 4-9 and Figure 4-14 and Figure 4-15. The experimental values are greater
than the numerical values but remain in the same order of magnitude. This
difference might be because the fibre volume fraction of the laminate
manufactured by RTM is smaller than the one calculated by Eq. 2-25, due to the
presence of voids or resin rich areas.
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Table 4-9: Experimental values of the coefficients of thermal direction obtained
by TMA for a 5-Harness satin unit cell with Vf = 59.4%
CTE CTE1
(x10-6
ºC-1
) CTE2
(x10-6
ºC-1
)
CTE3
(x10-6
ºC-1
) CTE3
(x10-6
ºC-1
)
T<Tg T>Tg
Test 1 Heating 2 3.337 3.669 52.98 178.6
Cooling 2 3.140 3.765
Heating 3 3.132 3.733 52.12 188.4
Cooling 3 3.110 3.730
Test 2 Heating 2 2.997 3.563 56.03 190.3
Cooling 2 3.000 3.441
Heating 3 2.975 3.503 54.69 191.6
Cooling 3 3.081 3.492
Average 3.096 3.612 53.95 187.2
Standard
deviation 0.1169 0.1272 1.746 5.907
4.3.4 Evolution of the 5-HS unit cell stresses during the cure cycle
Using the finite element software ABAQUS and the COMPRO Component
Architecture (CCA), the evolution of the stresses in the 5-harness satin unit cell
during a typical cure cycle of the epoxy resin can be predicted. A heat transfer
analysis was first performed, followed by a stress analysis. The
stress/displacement elements (C3D8), used for the stress analysis, were replaced
by 8-node linear brick heat transfer elements (DC3D8) in the heat transfer
analysis. This type of element only has the temperature as degree of freedom. The
simulated cure cycle was two hours at 180ºC followed by a cool down to 25ºC at
1ºC/min. The material constitutive models of the one-part epoxy resin, CYCOM
890RTM, developed in CHAPTER 3, were implemented in the COMPRO CCA
material database. The properties of the yarn, presented in Table 4-6, were used as
the fibre properties in the finite element model. Figure 4-16 to Figure 4-18 show
the stresses in the x-, y-, and z-directions at different times for a 5-HS unit cell
with a 50% fibre volume fraction and 70% yarn fibre volume fraction. In order to
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observe the state of stress inside the unit cell, the model was cut in two along the
(yz) plane. Before the gel point, no stresses were present in the unit cell. Small
compressive stresses arose after the gel point due to the resin shrinkage at the
fibre overlap. The compressive stresses increased during the isotherm with a
maximum compressive stress around -20 MPa at the end of the temperature hold
in the three directions. At the end of the cure cycle, the fibres remained in
compression with stresses around -50 to -100 MPa. The resin is in tension in the
in-plane direction and in compression in the through-thickness direction. Similar
results were obtained for the 55% and 62% fibre volume fraction 5-HS unit cell.
Figure 4-16: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the gel point (t = 70 minutes)
-117-
Figure 4-17: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the end of the isotherm (t = 120 minutes)
-118-
Figure 4-18: Stresses in the three directions of a half 5-HS unit cell (Vf = 50%) at
the end of the cool down (t = 275 minutes)
From these results, the composite shrinkage coefficients c can be as well
estimated using the dimension variations of the unit cell Δli during the cure as
follows:
Eq. 4-21
where l is the unit cell initial dimension, Δl is the change in dimension between
the gel point and the end of the isotherm and the subscript i represent the principal
directions x, y and z.
-119-
The composite shrinkage coefficients of the 5-harness satin unit cell, for the three
fibre volume fraction investigated, are reported in Table 4-10. Due to the
influence of the fibres, the in-plane composite shrinkage coefficients are small. In
the direction 3, the behaviour of the composite is dominated by the resin.
Therefore, the composite shrinkage coefficient is greater in that direction, and
decreases as the fibre volume fraction increases.
Table 4-10: Composite shrinkage coefficients for the 5-harness satin unit cell at
62%, 55% and 50% fibre volume fractions
Vf = 62% Vf = 55% Vf = 50%
Yarn Vf 86% 77% 70%
c,1 (x10-6
m/m) 8.33 8.33 8.33
c,2 (x10-6
m/m) 8.33 8.33 8.33
c,3 (x10-3
m/m) 2.47 2.51 2.54
4.4 Summary and discussion
In this chapter, the thermomechanical properties of 5-harness satin woven
laminate were investigated and compared to an equivalent unidirectional crossply
laminate using a micromechanical approach. Various fibre volume fractions were
investigated corresponding to typical volume fraction used in the RTM process.
The following trends were observed:
1) Elastic modulus: due to the fibre waviness, the in-plane moduli of the
5-harness satin laminate, E1 and E2, are a slightly smaller than a
unidirectional crossply laminate with the same fibre volume fraction,
and the through-thickness moduli, E3, are very comparable.
2) Shear modulus: the in-plane shear modulus of the 5-harness satin
laminate, G12, is noticeably higher than the crossply one, especially
with for high fibre volume fraction because of the yarn interlacing
effect. The out-of-plane shear moduli, G13 and G23, remain
comparable.
-120-
3) Poisson’s ratio: because of the fibre undulation, the in-plane 5-harness
satin Poisson’s ratio, ν12, is higher than the corresponding crossply
laminate at the same Vf. The out-of-plane Poisson’s ratio, ν13 and ν23
are comparable for the two unit cells.
4) Coefficient of thermal expansion: the 5-harness satin laminate gives
a slightly higher through-thickness CTEs than the crossply laminate
and a comparable in-plane CTE.
These results demonstrate that the properties of the 5-harness satin woven fabric
and the equivalent unidirectional crossply laminate are slightly different but
overall comparable. This validates the use of the properties of unidirectional fibre
to model the behaviour of this type of fabric architecture. Using the
ABAQUS/COMPRO CCA platform, the evolution of the stress in the 5-harness
satin unit cell was also predicted and the composite shrinkage coefficients were
determined.
The thermomechanical properties of the unidirectional fibre with a YVf of 70%
will be therefore implemented with the detailed properties of the resin in the
ABAQUS/COMPRO CCA platform in order to predict the properties of a 5-
harness satin carbon/epoxy composite structure at 50% fibre volume fraction.
-121-
CHAPTER 5 Investigation of the tool-part interaction by fibre Bragg grating sensors
This chapter focuses on the influence of the tool-part interaction on the process-
induced stresses. As explained in CHAPTER 2, section 2.2.3, most of the studies
investigating the tool-part interaction focused on open mould process (i.e
autoclave or vacuum bag processes) whereas few studies have been conducted on
the effect of tool-part interaction for closed mould processes such as RTM.
However, the interaction between the mould and the laminate is quite different for
these two processes as shown in Figure 5-1.
Figure 5-1: Schematic representation of the open and closed mould processes, a)
before the cure, b) at the end of the cure
Autoclave or vacuum bagging processes consist of a flexible membrane and a
solid mould whereas the RTM process consist of two solid moulds with a constant
-122-
cavity volume. At the beginning of both processes, the laminate and the mould
cavity have the same thickness t0. In the case of the autoclave process, an external
pressure Pa is applied to the flexible membrane during the entire cure cycle,
leading to a compaction of the laminate. The contact between the composite
structure and the solid mould is maintained until the end of the cure cycle. For the
RTM process, the pressure is applied to the resin through the injection pressure,
Pinj, at the beginning of the cure cycle. During the cure, the resin cure shrinkage
decreases the laminate thickness to a value t. As the mould cavity remains
constant with a thickness t0, this can lead to a loss of contact between the mould
and the composite part and poor surface finish [100, 141]. This phenomenon does
not happen in the autoclave process due to the autoclave pressure Pa applied
continuously to the flexible membrane and compensates for changes in laminate
thickness. This difference of the tool-part interaction mechanism might have an
influence on the process-induced stresses and laminate deformations. Therefore
the tool-part interaction was investigated in the RTM process using fibre Bragg
grating optic sensors and then modelled using finite element method. The
experiments were carried out at the laboratory of Polymer and Composite
Technology from the École Polytecnique Fédérale de Lausanne (EPFL) in
Switzerland.
5.1 Fibre Bragg grating sensor principle
Strain gauges are a common method to measure the strain development
throughout the cure cycle [92, 109]. However, it is difficult to embed the strain
gauges into composite laminates and they are usually mounted on the tool.
Alternatively, fibre optic sensors appear to be an interesting method to measure
in-situ, the development of the residual strains during composite manufacturing
[111, 125, 142-148], as well as the material transition (gel point, glass transition)
[143] or the degree-of-cure [149]. Their advantage over strain gauges is that they
can be easily integrated in the composite at the performing stage of the
manufacturing. Small and non-intrusive, they have also a minimal impact on the
-123-
mechanical properties of the composite. Different kind of fibre optic sensors can
be used, such as fibre Bragg grating (FBG) sensors [111, 125, 143, 147, 148],
extrinsic Fabry-Perot interferometric (EFPI) sensors [142, 144, 146, 149] or
FBG/EFPI hybrid sensors [145]. In this work, FBG sensors were used to measure
the development of internal strain in a composite laminate manufactured by RTM,
as the cure progresses.
A fibre Bragg grating (FBG) sensor is an optical fibre with a periodic
modification of the core refractive index along the fibre. A phase mask technique
is commonly used to imprint the periodic pattern to the optical fibre. This
technique uses the optical fibre photosensitivity property: by exposing an optical
fibre under ultraviolet light, its refractive index can be modified permanently.
Figure 5-2 details the phase mask technique. A piece of silica glass, transparent to
ultraviolet light, with a grating pattern with a period of Λmask on one side is used as
a phase mask. When ultraviolet light passes through the mask, it is diffracted by
mask grating pattern. When the UV diffracted beams reach the optical fibre, they
photoimprint, i.e. change locally its refractive index, with a grating period ΛB,
equal to half of the pattern period ( ). Then, when a source of light is
connected to the optical fibre with a FBG, only a narrow-band of the signal is
reflected with the Bragg wavelength λB, given by [150]:
Eq. 5-1
where n is the effective refractive index of the core and ΛB is the grating period.
-124-
Figure 5-2: Phase mask grating technique (adapted from [150])
Any change in the optical fibre properties which varies the grating period or the
refractive index, such as strain or temperature, will then change the Bragg
wavelength. In the case of an axial applied strain Δεapp and a temperature change
ΔT, the Bragg wavelength shift ΔλB can be related to both the temperature T and
the strain ε, as follows:
Eq. 5-2
where Kε and KT are the strain and temperature sensitivities of the optic sensor and
αf is the fibre optic coefficient of thermal expansion.
When the FBG optic sensor is embedded in a host structure of a different material,
such as a composite laminate, and assuming a perfectly bounded interface
between the two, the thermal strain of the host structure can influence the
response of the FBG sensor [111]. Eq. 2-25 can be then modified as follows:
Eq. 5-3
-125-
where Δεtot is the total strain transferred to the optical fibre and Δεth is the thermal
strain experienced by the host material that can be expressed in the following
manner:
Eq. 5-4
where CTEH is the coefficient of thermal expansion of the host material.
5.2 Experimental procedure
5.2.1 RTM process
Radial injections were carried out at constant pressure in a rectangular steel mould
to manufacture carbon/epoxy laminates with a 50% fibre volume fraction and the
following dimensions: 34.5 cm x 24.5 cm x 0.2 cm. Figure 5-3 and Figure 5-4
present the mould and the RTM set-up. Six heating cartridges on each side of the
mould (top and bottom) were used to apply the desired cure cycle. The mould
surface was treated with release agent (Frekote 770-NC) and flexible silicone
joints were used to seal the mould. Five plies of 5-harness satin G30-500 6k
carbon fabric [134, 135] were stacked with the following layup
[(0/90)(90/0)(0/90)(0/90)(90/0)]. The preform was debulked 30 minutes under
vacuum to remove the eventual entrapped air. Once the preform was placed into
the mould, the mould was closed and the system was preheated at 180ºC prior the
resin injection. Vacuum was as well applied to the mould cavity in order to
facilitate the resin injection. The CYCOM 890RTM one-part epoxy resin [129]
was not degassed before the injection but preheated at 80ºC in the injector to
reach its optimal viscosity and injected in the mould with injection pressure of
0.35MPa. The filling time was less than 5 minutes for all injected plates.
Two cure cycles were applied as shown in Figure 5-5:
- Cure cycle 1 : 2 hours isotherm at 180ºC (CYCOM 890RTM epoxy
typical cure cycle)
- Cure cycle 2: two holds cure cycle, 2 hours at 170ºC following by 30
minutes at 190ºC.
-126-
The cure cycle 2 was designed so that the resin reaches the gel point during the
first temperature hold and to determine the influence of the cure cycle on the
development of the internal strain. Two plates were manufactured for each cycle.
Figure 5-3: RTM steel mould: a) mould opened, b) perform inside the mould
-127-
Figure 5-4: RTM experimental set-up
Figure 5-5: Applied cure cycle to the RTM process
After the cure, the laminates were placed in an oven and subjected to a set of 15
minutes isotherms at 35ºC, 50ºC and 70ºC with 1ºC/min temperature ramp in
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between. Using the FBG already embedded in the laminate, the strain variation
was measured during these particular conditions in order to determine the
coefficient of thermal expansion of the cured laminate.
5.2.2 FBG sensors
The FBG sensors were provided by Technica SA. Their initial wavelength was
1562 0.5 nm with a bandwidth inferior to 0.3 nm, and a diameter of 210 5 µm.
Their strain and temperature sensitivity (Kε and KT) were 7.7x10-7
µε-1
and
6.92x10-6
ºC-1
respectively.
Previous studies reported a decrease in the fibre optic response followed by a
stabilisation while ramping up the temperature [151]. In order to assure the
thermal stability of the Bragg wavelength with temperature, a preconditioning or
pre-annealing is then necessary. It consists of heating the FBG in an oven at
elevated temperature to accelerate the decay phenomenon and reach the moment
where the Bragg wavelength remains stable with temperature. As the curing
temperature of the composite is 180ºC, the FBG sensors were preconditioned 24
hours at 200ºC in an oven before use. Figure 5-6 shows a FBG sensor after
preconditioning.
Figure 5-6: Preconditioned fibre Bragg grating sensor
After the preconditioning, the initial optical fibre wavelength, λB0, was recorded
prior embedding the sensor in the laminate. For each laminate, three FBG sensors
were positioned at the center of the laminate, through the thickness of the
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laminate, at the bottom, middle and top surface, as shown in Figure 5-7. A
thermocouple type K was also placed in the mould cavity to monitor the
temperature of the composite part inside the mould. An optical sensing
interrogator sm125-500 from Micron Optics was used to monitor the variation of
the FBG wavelength λB during the entire cure.
Figure 5-7: FBG sensors position in the laminate
5.3 Experimental results
For each cure cycle, two plates were manufactured. However, in some cases, the
connection between some of the FBG and the optical sensing interrogator failed
during the experiment and the wavelength variation was not recorded entirely.
Therefore, in the following, only the experiments where the data of the three FBG
were completely recorded are presented. Nevertheless, the experiments with the
partial data were compared to the one with the full set of data, and showed good
agreement.
5.3.1 Measured in-plane strains: cure cycle 1
Figure 5-8 presents the wavelength variation of the three FBG sensors during the
entire cure cycle. The wavelength variation was set to zero at the beginning of the
recording (t=0 minutes). First, the wavelength increased as the mould heated-up
and the sensors expanded with the temperature. Then a decrease in the wavelength
was observed at the injection due to the temperature gradient between the mould
and the resin. As the resin was colder than the mould, the sensors contracted when
-130-
the resin reached them. During the isotherm, the wavelength remained constant
and it decreased at the cool down. A wavelength discontinuity was observed at
around 250 minutes in the cool down which corresponds to a separation of the
composite from the mould, as explained in the following.
Figure 5-8: FBG sensor relative wavelength variation and temperature during cure
cycle 1
Using Eq. 5-3, the total strain variations (Δεtot) in the laminate during the cure
were calculated and plotted in Figure 5-9. During the mould heat-up stage, before
the resin injection, the FBG sensor is not bonded to the dry fibres. As there is not
fixed contact points between the sensor and the fabric, the strain occurring in the
fabric might not be totally transferred to the FBG, and the measured strain might
not be consistent and reliable. For these reasons, the strains were then set to zero
at the beginning of the injection as shown in Figure 5-10. Also, once the resin is
injected, the strain transfer between the composite and the FBG sensor might not
be optimum up to the gel point, as the resin acts as a viscous liquid before that
point. Thus the data provided by the FBG sensors before the gel point have to be
-131-
used with caution. For this epoxy resin, the gel point occurs around 70 minutes
after the injection at 180ºC.
Figure 5-9: In-situ strain variation during cure cycle 1
Figure 5-10: In-situ strain variation from the injection to the end of cure cycle 1
-132-
Overall, the composite remained in compression during the cure. Small
compressive strains were introduced in the laminate at the injection (around -50
µε). Then the strain remained constant during the two hour isotherm at 180ºC.
Since the FBG sensors captured the in-plane strains, the resin shrinkage was not
clearly observable. During the cool down, a strain discontinuity was observed at
around 250 minutes or 150ºC. This behaviour corresponded to the composite plate
separation from the mould because of the coefficient of thermal expansion (CTE)
mismatch between the composite and the steel tool. Figure 5-11, showing the
strains as a function of temperature confirmed this assumption.
The evolution of the strain with the temperature was linear with two different
slopes before and after the discontinuity. A slope of 15.3x10-6
ºC-1
, corresponding
to the CTE of steel, was measured before the discontinuity (150°C<T<180°C).
The slope changed to 4.46x10-6
ºC-1
after the discontinuity (25°C<T<150°C). This
value is in the order of magnitude of the in-plane coefficient of thermal expansion
of the composite with a 50% fibre volume fraction (CTE1 = 2.49x10-6
ºC-1
, CTE2
= 2.48x10-6
ºC-1
), as seen in CHAPTER 4, Table 4-8. Thus, during the cool down,
the composite followed the thermal contraction of the steel mould until the shear
stress at the interface mould/composite becomes too high and the laminate
separated from the mould. A similar phenomenon was as well observed for
laminate manufactured by the autoclave [111]. At the end of the cool down, the
composite remained in compression with the value of the residual strain around -
700 µε.
-133-
Figure 5-11: In-situ strain variation with the temperature for cure cycle 1
From Figure 5-10, the strain variation at the top and middle of the laminate
appeared to be slightly higher than in the bottom of the laminate. However, this
observation was not repeatable from one laminate to another. Actually, the FBG
response can be also influenced by the FBG position and its local interaction with
the woven fabric. For example, the alignment of the FBG with respect to the fibre
orientation has an influence on the strain measurement. This parameter is difficult
to control in the RTM process as the resin flowing in the preform can modify the
FBG initial position. Therefore, in that case, we can assume that the alignment of
the middle FBG sensors was slightly different from the top and bottom ones. As
the plate is only 2 mm thick, the strain variation at different position through the
thickness should be similar.
5.3.2 Measured in-plane strains: cure cycle 2
The same approach was applied to the cure cycle 2. The influence of the cure
cycle on the development of the internal strain was then observed. Figure 5-12
presents the relative wavelength variation for the cure cycle 2. Similarly as in cure
-134-
cycle 1, the wavelength increased first as the mould temperature increased. Then a
small decrease in wavelength is observed when the resin is injected into the
mould. The wavelength remained constant during the first isotherm at 170ºC and
increased as the temperature increased to the second isotherm at 190ºC. During
the cool down, the wavelength decreased, and a discontinuity was observed at
around 350 minutes. Using Eq. 5-3, the strain variation was then extracted and set
to zero at the injection, as shown in Figure 5-13. Small compressive strains
around -50 µε were introduced at the injection. The strain remained constant
during the first isotherm, and increased at the second hold due to the part
expansion with temperature. During the cool down, a stain variation is noticed at
around 350 minutes or 150ºC that again corresponded to the separation of the
composite from the mould. The debonding occurred at the same temperature as
for the cure cycle 1. The evolution of the strain with the temperature in Figure
5-14 also confirms this behaviour. From 190ºC to 150ºC, the composite behaved
similarly as the steel mould with a thermal expansion of 12.6x10-6
ºC-1
. After the
discontinuity, from 140ºC to 25ºC to thermal expansion changes to 4.34x10-6
ºC-1
,
which is in the order of magnitude of the in-plane composite CTE as seen
previously. At the end of the cool down, the composite remained in compression
with the value of the residual strain around -700 µε. As suggested previously, the
difference between the strain measurements through the thickness might be due to
a change of the FBG position at the injection or during the cure cycle.
-135-
Figure 5-12: FBG sensor relative wavelength variation during cure cycle 2
Figure 5-13: In-situ strain variation during cure cycle 2 from the injection to the
end of the cool down
-136-
Figure 5-14: In-situ strain variation with the temperature for the cool down of cure
cycle 2
Figure 5-15: Comparison of the strain variation at the laminate mid-thickness for
the two cure cycles.
-137-
Figure 5-15 compares the strain variation obtained for the two cure cycles at the
laminate mid-thickness. The change in cure cycle did not seem to affect the
laminate properties as well as the interaction between the mould and the
composite plate. The debonding occurred at the same temperature and similar in-
plane strains were obtained at the end of the two cure cycles.
5.3.3 Laminate coefficient of thermal expansion
The laminates with the embedded FBG sensors were heated up in an oven and
subjected to a succession of isotherms and temperature ramps at 1ºC/min. The
measured strain and the temperature are plotted in Figure 5-16. Then the
coefficients of thermal expansion were determined for each ramps as well as the
cool down by measuring the slope of the strain with the temperature and were
reported in Table 5-1. Overall, the in-plane coefficient of thermal expansion of the
laminate (CTEc) was around 2.5x10-6
ºC-1
. This value is in agreement with the in-
plane coefficients of thermal expansion obtained numerically with the 50% 5-
harness satin woven unit cell model reported in Table 4-8 (CTE1 = 2.49x10-6
ºC-1
,
CTE2 = 2.48 x10-6
ºC-1
) and confirms the validity of the micromechanical
approach used in CHAPTER 4. This value is lower than the value in the mould
after the separation of the laminate from the mould (Figure 5-11 and Figure 5-14).
Thus, it can be assumed that, after the separation, a small interaction between the
laminate and the mould still remains as the apparent composite CTE in the mould
is higher than the CTE obtained for a free standing laminate.
-138-
Figure 5-16: Temperature and strain variation during the post-cure of the laminate
Table 5-1: Coefficient of thermal expansion measured at the post cure
Laminate CTE (cure cycle 1)
(ºC-1
)
Laminate CTE (cure cycle 2)
(ºC-1
)
FBG middle* FBG top
* FBG bottom
* FBG top
*
Heating ramp 1 1.62 10-6
2.14 10-6
2.05 10-6
1.53 10-6
Heating ramp 2 2.04 10-6
2.56 10-6
2.66 10-6
2.06 10-6
Heating ramp 3 2.46 10-6
2.73 10-6
2.89 10-6
1.49 10-6
Cool down 2.59 10-6
3.30 10-6
2.77 10-6
1.31 10-6
Average 2.18 10-6
2.68 10-6
2.59 10-6
1.60 10-6
*As the optical sensing interrogator had only four inputs, only two FBG per plate were linked to
the device.
5.3.4 Maximum shear stress determination
From these experiments, the maximum shear stress that the composite can sustain
before the separation of the laminate from the mould can be determined. Figure
5-17 describes the development of the shear stress at the mould/composite
interface, due to the difference in coefficient of thermal expansion between the
mould and the composite.
-139-
Figure 5-17: Shear stress formation due to the mismatch of the thermal expansion
between the composite and the mould at the cool down
The shear stress τ is related to the composite in-plane stress σC, which is related to
the composite mechanical strain εC,M by the composite Young’s modulus EC, as
follows:
Eq. 5-5
where t is the laminate thickness and L0 is the laminate length. The value of the
elastic modulus, determined in CHAPTER 4 for the 5-harness satin woven unit
cell at 50% fibre volume fraction (Table 4-8, E1 = 59.44GPa), was assumed to be
the Young’s modulus of the composite Ec.
The mechanical strain is the difference between the total strain εC,tot measured by
the top and bottom FBG sensors and the free thermal expansion εC,TH as expressed
below:
Eq. 5-6
-140-
where CTEC is the in-plane coefficient of thermal expansion of the composite
determined experimentally using the FBG and ΔT is the temperature variation.
The total strain corresponds to the maximum strain variation sustained by the
laminate at the interface before the separation, and was measured as follows:
Eq. 5-7
where εtot,i and εtot,f are the total strains measured by the top and bottom FBG
sensors at the beginning of the cool down and before the strain discontinuity, as
shown in Figure 5-10 and Figure 5-13.
The different values obtained for the maximum shear stress were reported in
Table 5-2. Using Eq.3, the residual stress in the composite were estimated around
-20 MPa at the end of the process.
Table 5-2: Maximum shear stress for the two cure cycle
Maximum shear
stress (kPa)
Cure cycle 1
Maximum shear
stress (kPa)
Cure cycle 2
FBG bottom 134 128
FBG top 136 170
Average 140 18
5.4 Tool-part interaction modelling
The RTM process and the tool-part interaction between the composite and the
mould was then investigated numerically using the commercial finite element
software ABAQUS and the COMPRO Component Architecture (CCA)
subroutine. As explained in CHAPTER 2 section 2.3.4, a heat transfer analysis
was first performed, followed by a stress analysis. In each analysis, three steps
were defined: an isothermal cure, a cool down and the demoulding. The
demoulding of the part was simulated by removing all the tooling element and
constraints from the composite part.
-141-
5.4.1 Geometry and finite element mesh
A 2 mm thick composite plate and a steel rectangular mould were modelled using
the actual dimensions of the RTM mould and the manufactured composite plate.
Due to the problem symmetry, only one quarter of the system was analyzed as
shown in Figure 5-18-a. A 1 cm gap between the mould and the composite sides
was added to allow the composite part to expand and not exceed the tool
boundaries (Figure 5-18-b). From Chapter 4, it was noticed that the properties of a
5-Harness fabric ply can approximate fairly well by an equivalent [0/90] non-
crimp fabric. Therefore, five plies 5-Harness satin laminate
[(0/90)(90/0)(0/90)(0/90)(90/0)] at 50% fibre volume fraction was modelled by
ten unidirectional layers with the following layup [0/90/90/0/0/90/0/90/90/0]. At
0º, the fibre were oriented in the length of the plate, as shown in Figure 5-18-c.
Ten elements were used for each layer through the composite thickness. Three-
dimensional 8-node solid elements were used: DC3D8 for the heat transfer
analysis and C3D8 for the stress analysis. The plate and the mould were meshed
with 8160 and 8640 elements respectively.
-142-
Figure 5-18: Composite plate and steel mould finite element model: a) finite
element mesh of the laminate, b) finite element mesh of the mould and the
laminate, c) close-up of the laminate finite element mesh in the mould, d)
schematic position of the analyzed element
5.4.2 Material model
The material constitutive models of the one-part epoxy resin, CYCOM 890RTM,
developed in CHAPTER 3, were implemented in the COMPRO CCA material
data base. The properties of the fibre with yarn fibre volume fraction of 70%,
developed in CHAPTER 4 (Table 4-6) were used as input in the finite element
model and are presented in Table 5-3. The fibre properties were assumed constant
and independent from the cure cycle. As the cure progresses, the thermoset resin
evolves from a liquid state to a rubber state and finally a glass state. Therefore,
three sets of properties (Liquid, Rubber and Glass) were used for the epoxy resin
to account for these transformations for the elastic modulus and the coefficient of
thermal expansion. For convergence purpose, the resin elastic modulus was set to
-143-
13 MPa in the liquid state. A smaller modulus led to a non convergence of the
simulation. As presented in CHAPTER 2, the resin was supposed to behave like a
cure hardening instantaneous linear elastic (CHILE) material during the entire
simulation. Table 5-3 presents also the properties of steel used for the RTM
mould.
Table 5-3: Material properties used as input for the FE models
CYCOM 890RTM Epoxy
Resin
G30-500 6k
Carbon Fibre
(YFV=70%)
Steel
Liquid Rubber Glass
Density (kg/m3) 1220 1220 1220 1790 7833
El (GPa) 1.3.10-2
- 3.2 162 230
Et (GPa) 1.3.10-2
- 3.2 9.92 230
Poisson ratio 0.2 0.2 0.2 0.3 0.2
CTE l
(10-6
m/m.ºC) 350 130 55 -0.36 12
CTE t
(10-6
m/m.ºC) 350 130 55 22 12
Max. volumetric
shrinkage (%) - - 3.36 - -
5.4.3 Boundary conditions
5.4.3.1 Displacements
In order to reproduce the model symmetry, the displacements of the nodes located
on the symmetric planes (xz) and (yz) were fixed in the directions 2 and 1
respectively. The bottom corner node, located at the intersection of the two
symmetric planes, was fixed in the direction 3 as well to prevent the possible rigid
body motion. The top and bottom mould surfaces were fixed in the z-direction in
order to simulate the press that kept the cavity thickness constant and the two-part
mould fixed in the RTM process. The mould top surface constraint in the z-
-144-
direction was then removed during the cool down to allow the mould contraction.
No initial pressure was applied to the mould or the composite part.
5.4.3.2 Temperature
The two cure cycles (cure cycle 1 and cure cycle 2) applied in the experiment
were used as temperature input for the numerical analysis. The temperature field
was applied to the top and bottom element layer of the mould to simulate the
heating cartridges. The heat was then transferred to the entire mould and the
composite part by conduction. The mould was assumed adiabatic during the
isotherm. During the cool down, the natural convection was applied by defining a
heat transfer coefficient of 10 W/m2ºC on the mould external surfaces. The
preform was assumed completely saturated with resin at the beginning of the
simulation. In the experiment, the resin was injected at 80ºC in a mould preheated
at 180ºC. Injection simulations using the software PAM-RTM showed that at the
end of the injection, once the part was totally impregnated, the average
temperature of the composite was around 160ºC. Therefore, in the process
modelling simulation, the initial composite temperature was set at 160ºC to
account for this initial temperature gradient and the initial mould temperature was
set to the curing temperature at 180ºC. Finally, the injection simulation predicted
a filling time less than 1 minute, which is too short for the resin to start reacting.
Thus, the initial degree-of-cure of the epoxy resin was set to 0.001 in the curing
simulation.
5.4.3.3 Contact interactions
In the stress analysis, three different types of contact interaction were used to
model different behaviours between the laminate and the mould.
Model A: no bonding
Model A analyzed the behaviour of the composite laminate alone, with no contact
constraints. In this analysis, the mould was not modelled as shown in Figure 5-18-
-145-
a, and the cure cycle was applied directly to the laminate. This analysis gives the
behaviour of the composite plate in a free standing condition.
Model B: perfect bonding
Model B investigated the behaviour of a composite laminate perfectly bonded to
the mould (Figure 5-18-b). This was ensured by having coincident and equivalent
nodes at the interface between the composite part and the mould.
Model C: frictional contact
Model C examined the effect of contact interaction at the interface of the
composite laminate and the mould (Figure 5-18-b). In order to take into account
the possible interaction between the mould and the composite part, contact
constraints were applied on the composite surfaces in contact with the mould.
Contact constraints were defined as follows: “hard” contact relationships were
applied to prevent the transfer of tensile stresses across the interface and minimize
the surface interpenetration. A stick-slip behaviour was introduced using the
classical isotropic Coulomb friction model, , and a shear stress limit
τmax. The Coulomb friction model expresses the critical shear stress τcrit at which
the surfaces in contact start to slide as a function of the pressure of contact P and
the coefficient of friction µ. By introducing τmax, the sliding then occurs as soon as
the magnitude of the equivalent shear stress reaches the minimum between τmax
and µP, , as shown in Figure 5-19. The maximum shear
stress determined previously was used (Table 5-2) as the shear stress limit. From
the literature review, the coefficient of friction was set to 0.3 [109].
Figure 5-19: Schematic representation of the critical shear stress evolution with a
stick-slip behaviour
-146-
5.4.4 Numerical results
For the different finite element models, the results were reported at the position A,
located as shown in Figure 5-18-c. This position corresponded approximately to
the experimental position of the FBG sensors and was representative of the strain
variations of the composite structure. The temperature and degree-of-cure were
analyzed at the centroid of the element located at the laminate mid-thickness. As
three FBG sensors were positioned in the experimental set-up at the top, mid-
thickness and bottom of the laminate, the computed total strains were analyzed
similarly at the element centroid of the laminate top, middle and bottom layers.
However, as the total strains were very similar for the three positions, only the
total strain at the laminate mid-thickness was plotted in the graph for clarity
purposes. Similarly, the strain in the mould at the top and bottom interface with
the laminate were analysed but only the strain of top of the mould was plotted.
The total strains included the thermal and mechanical strains.
5.4.4.1 Temperature and degree-of-cure
Figure 5-20 and Figure 5-21 show the evolution of the predicted composite
temperature and the degree-of-cure for the two cure cycles at the laminate mid-
thickness. Using the DiBenedetto equation (Eq. 2-11) the glass transition
temperature was also predicted. In both cases, a negligible cure exotherm was
predicted (<1ºC during the isotherm). The gel point occurred at αgel = 0.7 in the
isotherm part at 69 minutes for the cure cycle 1 and at 105 minutes for the cure
cycle 2. In both case, the vitrification occurs before the cool down, which means
that at the end of the isotherms, the resin is in the glassy state. After the isotherm,
the part cooled down slowly by natural convection. A maximum degree-of-cure of
0.97 and 0.99 was reached at the end of the cure cycle 1 and cure cycle 2
respectively. Also, as shown in Figure 5-22, the predicted temperatures were
uniform over the entire mould and laminate during the cure cycle 1 and no
degree-of-cure gradient was present in the laminate. Similar results were observed
for cure cycle 2.
-147-
Figure 5-20: Evolution of the temperature and the degree-of-cure at the laminate
mid-thickness at the position A for cure cycle 1
Figure 5-21: Evolution of the temperature and the degree-of-cure at the laminate
mid-thickness at the position A for cure cycle 2
-148-
Figure 5-22: Temperature and degree-of-cure field at different times: 0 minutes,
60 minutes, 120 minutes, and 917 minutes
5.4.4.2 Strain results
Cure cycle 1
Figure 5-23 and Figure 5-24 present the evolution of the total in-plane strains for
the three different types of tool-part interactions (no bonding, perfect bonding,
and frictional contact) for the cure cycle 1, while Figure 5-25 and Figure 5-26
show the total strain evolution in the through-thickness direction.
In each case, the laminate expanded first as its temperature increased from 160ºC
to 180ºC in less than two minutes. As the behaviour of the laminate in the
through-thickness direction is dominated by the matrix, the expansion was 10 to
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20 times higher in that direction than the in-plane direction. In the in-plane
direction, a greater expansion was noticed for the model C, where the frictional
contact interactions were used, with a maximum in-plane strain of 190 µε and 270
µε in the directions 1 and 2 respectively. When the laminate was perfectly bonded
to the mould in model B, the expansion was only 50 µε and 90 µε in the two in-
plane directions. Actually, in the case of the perfect bonding, the nodes at the
interface mould/laminate share the material properties of the mould and the
laminate. Therefore the mould prevented the composite expansion as its initial
temperature was already set to the curing temperature (180ºC). On the other hand,
using frictional contact properties allows the laminate to expand more as the
interface is constituted of two nodes with independent properties. In the through-
thickness direction, the maximum strain was obtained for the non bonded
laminate (model A) with a free expansion of 10888 µε. For the model B and model
C, a through-thickness strain around 4000 µε was reached, as the mould restrained
the free expansion of the laminate.
After 60 minutes into the cure, a decrease in the in-plane and through-thickness
strains was observed (Figure 5-24 to Figure 5-27) corresponding to the resin
shrinkage occurring after the gel point.
Then, during the cool down, the temperature decrease led to a decrease in the in-
plane and through-thickness strains in the composite. From Figure 5-23, it can be
noticed that in the case of a perfect bonding (model B), the laminate followed the
contraction behaviour of the mould in the in-plane directions with a final total
strain of -1760 µε. The free standing laminate (model A) contracted less with a
final strain of -550 µε. For the model C, Figure 5-24, the evolution of the total
strain during the cool down was situated in between the one obtained for model A
and model B. No strain discontinuity was observed during the cool down. In the
through-thickness direction, the laminate total strain for the perfect bonding and
frictional contact models evolved similarly, and reached final total strains of -
5200 µε and -5700 µε respectively.
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Figure 5-23: In-plane strain evolution at the laminate mid-thickness for cure cycle
1 in the case of no bonding (model A) and perfect bonding (model B)
Figure 5-24: In-plane strain evolution at the laminate mid-thickness for cure cycle
1 using contact interactions (model C)
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Figure 5-25: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 1 in the case of no bonding (model A) and perfect bonding (model B)
Figure 5-26: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 1 using contact interactions (model C)
-152-
Figure 5-27 to Figure 5-30 present the total strain evolution with the temperature
in the in-plane and through-thickness directions at the laminate mid-thickness.
Overall, the total strain decreased linearly with the temperature. Similar to the
experimental section, the laminate thermal contraction was analysed by measuring
the slope of the curve. In the in-plane direction, a slope of 3.6x10-6
ºC-1
was
measured in the case of the model A, which is of the order of magnitude of the in-
plane coefficient of thermal the coefficient of the laminate with a 50% fibre
volume fraction as seen previously. For the model B, the measured slope was
12x10-6
ºC-1
corresponding to the CTE of the steel mould. Therefore, in a case of
perfect bonding (model B), the laminate behaved like the mould and followed its
thermal contraction. When the frictional contact constraints were applied, a
bilinear curve was noticed for the evolution of the composite strain with the
temperature. Two slopes, 9.25x10-6
ºC-1
and 3.40x10-6
ºC-1
were measured before
and after the inflection respectively. The value after the inflection is similar to the
slope obtained in the model A and corresponds to the laminate CTE. The value
obtained before the inflection is close to the CTE of the mould. Hence, during the
cool down, the composite followed the thermal contraction of the steel mould
until the shear stress at the interface mould/composite reached the maximum shear
stress allowed and the laminate then debonded from the mould. The inflection
corresponded to a transition from a bonded to a debonded laminate. In the
through-thickness direction, the laminate behaved similarly for the three boundary
conditions with a slope around 60x10-6
ºC-1
, which is in the order of magnitude of
the through-thickness composite CTE measured numerically in CHAPTER 4,
Table 4-8 (CTE3 = 47.31 x10-6
ºC-1
). The slopes obtained for the different models
were summarized in Table 5-4.
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Figure 5-27: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 1 in the case of no bonding (model A) and perfect bonding
(model B)
Figure 5-28: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 1 using contact interactions (model C)
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Figure 5-29: Through-thickness strain evolution with the temperature at the
laminate mid-thickness for cure cycle 1 in the case of no bonding (model A) and
perfect bonding (model B)
Figure 5-30: Through-thickness strain evolution with temperature at the laminate
mid-thickness for cure cycle 1 using contact interactions (model C)
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Table 5-4: Numerical curve gradients obtained with the different models for the
in-plane and through-thickness strains for the cure cycle 1
Steel
mould Model A Model B Model C
ε1= ε2= ε3 ε1 ε2 ε3 ε1 ε2 ε3 ε1 ε2 ε3
Slope 1
(x10-6
) 12 3.6 3.6 62 12 12 54 9.2 7.0 64
Slope 2
(x10-6
) - - - - - - - 3.4 3.4 -
Temperature
at the
discontinuity (ºC)
- - - 144 144 -
The predicted in-plane strains where then compared to the experimental strains
obtained with the FBG sensors. Figure 5-31 shows the comparison of the in-plane
total strains with time at the laminate mid-thickness. Contrary to the predicted
results, small compressive strains around -50 µε were introduced in the laminate
after the injection. In the experiment, the mould and the preform were preheated
at 180ºC, and the resin was then injected at 80ºC. Thus, when the resin reached
the FBG sensors, the resin temperature was lower than the preform and mould
temperature, leading to a contraction of the FBG sensors. In the numerical models
however, the laminate was assumed fully impregnated at the beginning of the
simulation with an initial temperature of 160ºC. As the initial mould temperature
was set to 180ºC, the composite then expanded due to the positive temperature
gradient. Also as mentioned previously, contrary to the measured results, no strain
discontinuity was predicted for any of the three models. Nevertheless, during the
cool down, the evolution of the strain predicted using frictional contact (model C)
is similar to the evolution of the measured strain after the discontinuity. Figure
5-32 compares the in-plane total strain evolution with temperatures during the
cool down obtained numerically and experimentally. The obtained experimental
and numerical slopes are reported in Table 5-5. It can be observed from Figure
5-32 that model A and model B captured the trend of the strain evolution after and
before the experimental discontinuity respectively. This confirms that the
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discontinuity corresponds to a separation of the laminate from the mould. Model
C does not show a strain discontinuity but presents a transition from the
composite behaviour before and after the strain change. The strain inflection
occurs almost at the same temperature than the strain discontinuity. From these
results, the frictional contact boundary conditions appeared to capture better the
evolution of the in-plane composite strain measured by FBG sensors developed
during the resin transfer moulding process.
Figure 5-31: Comparison of the in-plane strain evolution at the laminate mid-
thickness for cure cycle 1 obtained experimentally and numerically in the case of
no bonding (model A) and perfect bonding (model B) and frictional contact (model
C)
-157-
Figure 5-32: Comparison of the in-plane strain evolution with temperature during
the cool down at the laminate mid-thickness for cure cycle 1 obtained
experimentally and numerically in the case of no bonding (model A), perfect
bonding (model B) and frictional contact (model C)
Table 5-5: Comparison of the experimental and predicted curve gradients
obtained with the different models for the in-plane strains
Slope 1
(x10-6
ºC-1
) Slope 2
(x10-6
ºC-1
) Temperature at
discontinuity (ºC)
Experiment 15.3 4.46 150
Model A 3.6 - -
Model B 12 - -
Model C 9.2 3.4 144
Cure cycle 2
Similar trends were observed for cure cycle 2. The evolution of the total in-plane
and through-thickness strains for the three different types of tool-part interaction
are reported in Figure 5-33 to Figure 5-36. In each case, the laminate expanded a
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first time as the temperature increased from 160ºC to 170ºC followed by a second
time from 170ºC to 190ºC at 120 minutes. Similarly to cure cycle 1, a greater
expansion was observed for model C in the in-plane direction with a maximum in-
plane strain of 410 µε and 480 µε in the directions 1 and 2 respectively at the
second hold, compared to 295 µε and 325 µε in the two in-plane directions in
model B. In the through-thickness direction, the maximum strain of 5444 µε was
obtained for model A, corresponding to its free expansion. Due to the mould
restriction, a through-thickness strain around 2000 µε was reached for the model B
and model C. The resin shrinkage occurred then after 110 minutes into the cure as
shown in Figure 5-35 and Figure 5-36. In that case, the gelation occurred at the
end of the first isotherm.
During the cool down period, the composite in-plane and through-thickness total
strains decrease with the temperature. The final in-plane total strains were slightly
higher than the one obtained with the cure cycle 1, whereas the through-thickness
total strain were lower than the one obtained with cure cycle 1. Again no strain
discontinuity was observed.
Figure 5-33: In-plane strain evolution at the laminate mid-thickness for cure cycle
2 in the case of no bounding (model A) and perfect bounding (model B)
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Figure 5-34: In-plane strain evolution at the laminate mid-thickness for cure cycle
2 using contact interactions (model C)
Figure 5-35: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 2 in the case of no bounding (model A) and perfect bounding (model B)
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Figure 5-36: Through-thickness strain evolution at the laminate mid-thickness for
cure cycle 2 using contact interactions (model C)
The total strain evolution with the temperature in the in-plane and through-
thickness directions at the laminate mid-thickness are presented in Figure 5-37 to
Figure 5-40. Overall, the total strain decreased linearly with the temperature. The
measured slopes are reported in Table 5-6. A behaviour similar to the one
observed for the cure cycle 1 was found for the cure cycle 2. Model A and Model
B correspond to the behaviour of a free laminate and a bonded laminate
respectively. Model C shows a transition from a bonded to a debonded laminate as
the slope evolves from 8.8x10-6
ºC-1
to 4.6x10-6
ºC-1
in the in-plane direction. The
transition happened around 175ºC. In the through-thickness direction, the
laminate behaved similarly for the three different conditions with a slope around
60x10-6
ºC-1
, which is in the order of magnitude of the through-thickness
composite CTE measured numerically in CHAPTER 4, Table 4-8 (CTE3 = 47.31
x10-6
ºC-1
).
-161-
Figure 5-37: In-plane strain evolution with temperature at the laminate mid-
thickness for cure cycle 2 in the case of no bounding (model A) and perfect
bounding (model B)
Figure 5-38: In-plane strain evolution with the temperature at the laminate mid-
thickness for cure cycle 2 using contact interactions (model C)
-162-
Figure 5-39: Through-thickness strain evolution with the temperature at the
laminate mid-thickness for cure cycle 2 in the case of no bounding (model A) and
perfect bounding (model B)
Figure 5-40: Through-thickness strain evolution with temperature at the laminate
mid-thickness for cure cycle 2 using contact interactions (model C)
-163-
Table 5-6: Numerical curve gradients obtained with the different models for the
in-plane and through-thickness strains during the cure cycle 2
Steel
mould Model A Model B Model C
ε1= ε2= ε3 ε1 ε2 ε3 ε1 ε2 ε3 ε1 ε2 ε3
Slope 1
(x10-6
) 12 3.6 3.6 62 12 12 34 8.8 7.3 58
Slope 2
(x10-6
) - - - - - - - 4.6 4.4 -
Temperature
at the
discontinuity (ºC)
- - - 174 179 -
The comparisons between the experimental and numerical values at the laminate
mid-thickness for cure cycle 2, as a function of the time and the temperature
variations, are presented in Figure 5-41 and Figure 5-42 respectively. As
mentioned previously, no strain discontinuity was predicted for any of the three
numerical models. Nevertheless, the model using a perfect bonding (model B)
agrees reasonably well with the experiment up to the discontinuity. After the
discontinuity, the evolution of the numerical strain using frictional contact (model
C) is similar to the evolution of the measured strain. From the evolution of the
strain with the temperature (Figure 5-42) and Table 5-7 that present the measured
experimental and numerical slopes, it is clear that model A and model B captured
again the trend of the strain evolution after and before the experimental
discontinuity respectively. Model C shows a transition from the composite
behaviour before and after the strain change; however, this transition happened at
the higher temperature than in the experiment. This difference might be due to the
way the resin is modelled in the simulation. In the numerical analysis, the resin
was modelled as an elastic material. However, in reality, the resin behaves like a
viscoelastic material, allowing the developed strain to relax before the
vitrification. Thus, the mechanical strains generated as the gelled resin is heated
up to the second hold of cure cycle 2, are not relaxed in the simulation. This
induces an earlier separation of the composite from the mould compare to the
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experiment. Nevertheless, from these results, the frictional contact seems to better
capture the evolution of the in-plane composite strain developed during the resin
transfer moulding process and the eventual debonding measured by FBG sensors.
Figure 5-41: Comparison of the in-plane strain evolution at the laminate mid-
thickness for cure cycle 2 obtained experimentally and numerically in the case of
no bonding (model A) and perfect bonding (model B) and frictional contact (model
C)
-165-
Figure 5-42: Comparison of the in-plane strain evolution with temperature during
the cool down at the laminate mid-thickness for cure cycle 2 obtained
experimentally and numerically in the case of no bonding (model A), perfect
bonding (model B) and frictional contact (model C)
Table 5-7: Comparison of the experimental and predicted curve gradients
obtained with the different models for the in-plane strains
Slope 1
(x10-6
ºC-1
) Slope 2
(x10-6
ºC-1
) Temperature at
discontinuity (ºC)
Experiment 15.3 4.46 150
Model A 3.6 - -
Model B 12 - -
Model C 8.8 4.6 175
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5.5 Summary and discussion
In this chapter, the tool-part interaction between the laminate and the mould in the
RTM process was investigated experimentally and numerically and the following
conclusions can be underlined:
1) FBG sensors, embedded in the laminate, were successfully used to
measure in-situ the composite in-plane strain evolution during the entire
cure. They also captured the debonding of the composite from the mould
occurring during the cool down due to the coefficient of thermal expansion
mismatch between the laminate and the mould.
2) The maximum shear stress allowed before the debonding of the laminate
from the mould was measured and estimated to be 140 kPa.
3) The tool-part interaction was modelled using three different boundary
conditions: no bonding, perfect bonding and frictional contact. Only the
frictional contact conditions applied at the interface between the laminate
and the mould predicted the debonding occurring at the cool down of the
cure cycle and described well the strain development in the composite
laminate. The predicted separation occurred at the same temperature as the
experimental one for cure cycle 1.
These results demonstrate the capacity of predicting complex tool-part
interactions using frictional contact constraints in finite element analysis.
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CHAPTER 6 Numerical case study: dimensional stability of carbon epoxy cylinders
In this chapter the different factors leading to process-induced strains and stresses
and shape distortions studied previously, such as the resin cure-dependent
properties and volumetric shrinkage (CHAPTER 3), the composite thermal strain
(CHAPTER 4) and the tool-part interaction (CHAPTER 5) are taken into account
simultaneously to compute the process-induced strains, stresses and deformations
of a composite part manufactured by RTM.
Structural shells parts are common in many fields such as aerospace, automotive
or sport industries. Using metallic insert or bladder, such parts can be
manufactured by RTM. However, it can be delicate as the internal mandrel can be
difficult to extract from the shell composite structure. Hence, a hollow cylinder
manufactured by RTM with a metallic insert was used as a case study and a
demonstrator of the numerical capabilities. A three-dimensional finite element
model based on ABAQUS/COMPRO CCA platform was used to analyze
numerically the spring-in and thickness variation of a cylinder manufactured by
RTM. The effect of the thermal strains and the volumetric chemical shrinkage was
introduced in the analysis through the resin and fibre material constitutive models
developed in CHAPTER 3 and CHAPTER 4. Frictional constraints were as well
implemented to simulate the tool-part interactions as described in CHAPTER 5.
The influence of the laminate layup and the mandrel material on the process-
induced deformations was also investigated.
6.1 Numerical model
In order to simulate the RTM process a heat transfer analysis followed by a stress
analysis were performed. Each analysis was divided in four steps. First an
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isothermal cure took place followed by a cool down. Then the demoulding of the
part was simulated by removing the tooling elements (external mould and
mandrel) and the constraints and boundary conditions on the mould. Finally, the
cylinder residual stresses were released by removing one plane of symmetry to
simulate a longitudinal cutting [152]. The cylinder deformation due to the stress
release and the final thickness were then examined.
6.1.1 Geometry and finite element mesh
A 2 mm thick cylinder composite on a 10 cm diameter internal mandrel was
modelled as shown in Figure 6-1. Only a quarter of the cylinder was analyzed due
to the problem symmetry (Figure 6-1-a). The laminate was modelled with 8 plies
and 50% fibre volume fraction. Eight elements were used through the composite
thickness (Figure 6-1-b). Two unidirectional laminates, [0º]8 and [90º]8 and three
symmetric angle-ply laminates [+θ/-θ/-θ/+θ]s with θ equal to 30º, 45º and 60º were
considered. At 0º, the fibres were oriented in the axial direction of the cylinder
(Figure 6-1-c). Three-dimensional 8-node solid elements were used: DC3D8 for
the heat transfer analysis and C3D8 for the stress analysis. The plate was meshed
with 6480 elements and the moulds were meshed with 9922 and 11858 elements
for the external mould and the mandrel respectively.
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Figure 6-1: Finite element models and boundary conditions: a) RTM finite
element mesh, b) close-up of the laminate mesh, c) schematic position of the
analyzed elements A and B
6.1.2 Material models
The properties of the composite material G30-500/CYCOM 890RTM,
characterized previously in CHAPTER 3 and CHAPTER 4 were used. Similarly
as in CHAPTER 5, the carbon fibre properties were taken with 70% yarn fibre
volume fraction (Table 4-6). Table 6-1 summarizes the material properties used as
input in the finite element models. The properties of steel were used for the
external mould. In order to study the effect of the mandrel material on the residual
stresses and deformations, steel and aluminum properties were applied to the
mandrel. The steel and aluminum properties used in this study are also presented
in Table 6-1.
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Table 6-1: Material properties used as input for the FE models
CYCOM 890RTM Epoxy
Resin
G30-500
Carbon
Fibre
Steel Aluminum
Liquid Rubber Glass
Density (kg/m3) 1220 1220 1220 1790 7833 2700
El (GPa) 1.3.10-2
- 3.2 162 230 73
Et (GPa) 1.3.10-2
- 3.2 9.92 230 73
Poisson ratio 0.2 0.2 0.2 0.3 0.2 0.33
CTE l
(10-6
m/m.ºC) 350 130 55 -0.36 12 24.3
CTE t
(10-6
m/m.ºC) 350 130 55 22 12 24.3
Max. volumetric
shrinkage (%) - - 3.36 - - -
6.1.3 Boundary conditions
6.1.3.1 Displacements
In order to reproduce the model symmetry, the displacements of the nodes located
on the symmetric planes (xy), (xz) and (yz) were fixed in the directions 3, 2 and 1
respectively. These nodal constraints prevented as well the possible rigid body
motion. During the isothermal step, the top external mould surface was also fixed
in three directions in order to simulate the press that kept the cavity thickness
constant and the two-part mould fixed. This last constraint was then removed
during the cool down to allow the mould contraction. Finally, in the last step, in
order to simulate the cylinder longitudinal cutting, the symmetric plane (xz) was
removed.
6.1.3.2 Temperature
The typical cure cycle for the epoxy system was used: 120 minutes isotherm at
180ºC followed by a cool down to 25°C by natural convection. In a typical RTM
process, the resin was injected at 80ºC in a mould preheated at 180ºC. Thus, the
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initial composite temperature in the finite element analysis was set to 160ºC in the
simulation to account for this initial temperature gradient. The mould was
assumed adiabatic during the isotherm. During the cool down, the natural
convection was applied by defining a heat transfer coefficient of 10 W/m2ºC on
the mould external surfaces. The preform was assumed to be completely saturated
with resin at the beginning of the simulation and the initial degree-of-cure of the
epoxy resin was set to 0.001. Finally, no initial external pressure was applied to
the mould.
6.1.3.3 Contact constraints
As discussed in CHAPTER 5 section 5.3.4, contact constraints were applied on
the composite surfaces in contact with the mould to take the tool-part interactions
between the mould and the composite part. Frictional constraints as defined in
section 5.4.3.3 were applied with a shear stress limit of 140 kPa and a coefficient
of friction of 0.3. It was assumed that these contact conditions were the same for
the aluminum mandrel. At the demoulding of the part, all the contact constraints
were removed.
6.2 Results and discussion
In all the finite element models, the results were observed at the positions A and
B, located as shown in Figure 6-1-c. These positions were representative of the
strain and stress variations of the composite structure. For both positions, in the
thermal analysis, the temperature was analyzed at the nodes and the degree-of-
cure was analyzed at the centroid of the element. In the stress analysis, the total
strains and stresses were analyzed at the element centroid of the inner and outer
layers of the composite part (Figure 6-1-b). The total strains include the thermal
and mechanical strains.
-172-
6.2.1 Temperature and degree-of-cure
Figure 6-2 and Figure 6-3 show the evolution of the predicted temperature and
degree-of-cure at the top, center and bottom center of the composite during the
cure cycle at the location A. A negligible cure exotherm was predicted (<1ºC
during the isotherm) for the RTM process. The predicted temperatures were
uniform over the entire part during the cure cycle and no degree-of-cure gradient
was present. The gel point occurred after 70 minutes at αgel = 0.7 in the middle of
the isotherm as shown in Figure 6-4. The vitrification also happened in the
isotherm, 40 minutes after the gelation, when the glass transition temperature goes
over the curing temperature. After the isotherm, the part cooled down slowly by
natural convection. A maximum degree-of-cure of 0.97 was reached at the end of
the cure.
Figure 6-2: Predicted temperatures at point A at different locations through the
composite thickness
-173-
Figure 6-3: Predicted degree-of-cure at point A at different locations through the
composite thickness
Figure 6-4: Temperature, glass transition temperature and degree-of-cure
evolutions for the RTM process at point A at the mid-thickness of the composite
-174-
6.2.2 Strains and stresses results
Figure 6-5 to Figure 6-9 and Figure 6-10 and Figure 6-14 show the evolution of
the total strains and stresses in the radial direction at the position A for the
different laminates at the part interfaces: external mould/composite outer surface
and mandrel/composite inner surface (Figure 6-1-b). The two angle-ply laminates
[+30/-30/-30/+30]s and [+60/-60/-60/+60]s behaved similar to the [+45/-45/-
45/+45]s laminate and in the following only the significant difference in behaviour
will be mentioned.
In all cases, the composite expands first as its temperature increases from 160ºC
to 180ºC from 0 to 2 minutes. A greater expansion for the 0º than the 90º laminate
was noticed with a maximum radial strain of 3470 µε versus 1245 µε,
respectively, as the presence of fibre in the hoop direction for the 90º laminate
prevented the radial expansion [153]. The expansion of the 45 angle-ply
laminate was situated in between with a radial strain of 3220 µε. Similar values to
the 45 angle-ply laminate were found for the 30º and 60º angle-ply laminates.
A decrease in the expansion was noticed as the ply angle became closer to the
orientation at 90º due to the effect of the fibre in the hoop direction.
This thermal expansion led to the development of compressive stresses in the
tools as shown in Figure 6-10 to Figure 6-14. Compressive stresses were built up
in the composite as well, as the external mould and the mandrel were preventing
the composite expansion. As the radial strains were smaller for the 90º laminate,
the resulting radial stresses remained also lower than the one in the 0º
unidirectional and angle-ply laminates. The maximum radial stresses were around
-22 MPa for the unidirectional laminate at 0º and the angle-ply laminates, and -9
MPa at 90º.
After 60 minutes of cure, a decrease in strain can be observed in Figure 6-8. This
corresponds to the resin shrinkage strain occurring after the gel point. The
shrinkage led to the release of the radial compressive stresses in the composite
and the tools, but not enough to eliminate the contact between the composite and
the moulds except for the [90º]8 laminate. In that case, the radial stresses in the
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laminate and the moulds became very low and the radial stress in the mandrel
reached almost zero during the isotherm at 90 minutes.
During the cool down after 120 minutes, the laminates contracted more than the
steel tool as the radial strains in the composites remained lower than the radial
strains in the mandrel and the external mould. As the temperature decreases, the
radial stresses of the laminates decrease in magnitude, independently of the layup.
Figure 6-5: Radial strain evolution of the [0º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A
-176-
Figure 6-6: Radial strain evolution of the [90º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A
Figure 6-7: Radial strain evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
-177-
Figure 6-8: Radial strain evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
Figure 6-9: Radial strain evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
-178-
Figure 6-10: Radial stress evolution of the [0º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A
Figure 6-11: Radial stress evolution of the [90º]8 laminate at the interfaces for the
RTM process with a steel mandrel at position A
-179-
Figure 6-12: Radial stress evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
Figure 6-13: Radial stress evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
-180-
Figure 6-14: Radial stress evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with a steel mandrel at position A
The separation of the composite cylinder from the mould can be noticed when the
radial stresses at the interface of the mandrel or the external mould became almost
zero. As shown in Figure 6-10 to Figure 6-14 and mentioned previously, the
laminate oriented at 90º separated first from the mandrel during the isotherm at
around 90 minutes due to the resin shrinkage. The 0º unidirectional laminate and
the angle-ply laminates separated from the tool during the cool down. [0º]8
debonded at around 302 minutes or 92ºC. The angle-ply laminates separated at
285 minutes, 352 minutes and 335 minutes for the 60º, 45º and 30º ply angles
respectively, as reported in Table 6-2. In that case, the separation of the composite
from the tool was caused primarily by the difference in their coefficient of thermal
expansion.
Table 6-2 presents the coefficients of thermal expansion in the radial, hoop and
longitudinal direction of the five laminates. The laminate CTEs were determined
using the dimension variations Δli of the laminate generated by the FEA during
the cool down as follows:
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Eq. 6-1
where the subscripts r, θ and L stands for the radial, hoop and longitudinal
directions respectively, and l is the initial laminate length at the beginning of the
cool down. For the composite oriented at 0º, the transverse CTEs of the
composite, in the hoop (CTEc,θ) and radial (CTEc,r) directions, are equal and
greater than the mould CTE (CTEc,θ = CTEc,r > CTEsteel). Therefore, during the
cool down, the composite contracted more than the mould, leading to a debonding
of the composite from the external mould and compressive stresses in the mandrel
as shown in Figure 6-10. For the laminate at 90º, the composite CTE in the hoop
direction is dominated by the behaviour of the fibre, and is then smaller than the
CTE of the mould. However, it remains greater than the CTE of the mould in the
through-thickness direction (CTEc,r > CTEsteel > CTEc,θ ). Hence, as the part
cooled down, the composite contraction in the hoop direction was smaller than the
mould contraction, locking the composite part in the external mould. Then, the
composite part debonded from the mandrel as its contraction was greater in the
through-thickness direction. This mechanism is schematically represented in
Figure 6-15. Depending on the ply angle value, the symmetric angle-ply laminates
behaved similarly to the 0º or 90º unidirectional laminate. The [+30/-30/-30/+30]s
laminate separated from the external mould as its CTE values followed the same
trend as the 0º laminate compared to the CTE of the mould, while the [+45/-45/-
45/+45]s and [+60/-60/-60/+60]s laminates behaved like the 90º laminate and
debonded from the mandrel.
-182-
Table 6-2: Coefficients of thermal expansion of the laminates
Layup CTEc,L
(10-6
ºC-1
) CTEc,θ
(10-6
ºC-1
)
CTEc,r (10
-6 ºC
-1)
Separation
from: Debonding time
(min)
Mandrel Steel Aluminum
[0º]8 -0.16 31.4 31.4 External
mould 302 170
[+30/-30/
-30/+30]s -3.5 20.8 38.6
External
mould 335 150
[+45/-45/
-45/+45]s 4.1 4.1 43.1 Mandrel 352 150
[+60/-60/
-60/+60]s 20.8 -3.5 38.6 Mandrel 285 145
[90º]8 31.4 -0.16 31.4 Mandrel 90 90
Figure 6-15: Schematic representation of the composite debonding, depending of
the material orientation
The radial strain and stress evolutions obtained for the position B were similar to
those observed at position A. However, it was noticed that the separation of the
laminate from the mould happened earlier than at position A. This means that the
debonding happens from the side of the composite part (position B) towards the
centre (position A). By analyzing the evolution of the contact pressure at the
-183-
interface, as shown in Figure 6-16 for the 45º angle-ply laminate, it was noticed
that the contact pressure at position B became null 30 minutes earlier than at
position A, which confirms the previous assumption. A similar phenomenon was
observed experimentally by Twigg et al. [109] on plate manufactured by
autoclave.
Figure 6-16: Evolution of the contact pressure at position A and B for the
[+45/-45/-45/+45]s laminate during the RTM process with a steel mandrel
Figure 6-17 to Figure 6-21 present the evolution of the radial stress of the five
laminates for the RTM process with a mandrel in aluminum. The values of the
radial stresses in the composite and the mould were similar to the values obtained
with a mandrel in steel. The same debonding mechanism occurred for the five
laminates. However, as the aluminum CTE is greater than the steel CTE, the
aluminum mandrel contracted more than the steel mandrel; and the separation of
the composite from the mould occurred earlier as presented in Table 6-2.
-184-
Figure 6-17: Radial stress evolution of the [0º]8 laminate at the interfaces for the
RTM process with an aluminum mandrel at position A
Figure 6-18: Radial stress evolution of the [90º]8 laminate at the interfaces for the
RTM process with an aluminum mandrel at position A
-185-
Figure 6-19: Radial stress evolution of the [+30/-30/-30/+30]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A
Figure 6-20: Radial stress evolution of the [+45/-45/-45/+45]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A
-186-
Figure 6-21: Radial stress evolution of the [+60/-60/-60/+60]s laminate at the
interfaces for the RTM process with an aluminum mandrel at position A
From these simulations, the ease of demoulding can be anticipated by observing
the state of stress in the external mould and the mandrel. For example, a difficult
demoulding can be expected for the [0]8 and [+30/-30/-30/+30]s laminates as the
mandrel remained in compression at the end of the cure with the value in the order
of -500 kPa.
6.2.3 Spring-in variation
The simulation of the cylinder radial cutting by removing a plane of symmetry
released the residual stresses and generated some spring-in and warpage in the
structure as shown in Figure 6-22.
The spring-in was calculated by evaluating the angle variation θ1. In an angled
composite laminate, such as L-shape bracket, Albert and Fernlund determined that
the spring-in was a combination of a corner component and a flange warpage
component [113]. Hence, for the cylinder, the measured spring-in would be then
equivalent to the spring-in corner component in an angled composite laminate.
-187-
The cylinder warpage was caused by the generation of shear stress at the interface
between the mould and the composite during the heat-up of the cure cycle, while
the mould stretches the laminate [107]. The warpage (w) was determined by
evaluating the bending of the cylinder. A positive value means that the cylinder
warps away from the mandrel. The spring-in, thickness and warpage variations
are presented in Table 6-3. In order to estimate the influence of the resin
shrinkage on the deformation, the finite element analyses were also computed
with 0% of resin volumetric shrinkage.
Figure 6-22: Schematic representation of the deformations occurring after the
stresses released a) spring-in, b) warpage
The analytical values of spring-in were calculated using the equations (Eq. 2-41
and Eq. 2-25) developed by Radford [97] taking into account the temperature
change, the thermal expansion of the composite in the in-plane and through-
thickness directions, as well as the cure shrinkage. It should be noticed that the in-
plane direction defined by Radford corresponds to the hoop direction defined in
this work. Therefore, the CTEc,θ and CTEc,r determined in Table 6-2 were used as
the CTEl and CTEt in Eq. 2-41 and Eq. 2-25.
-188-
Table 6-3: Process-induced dimensional changes for the different laminate layups
Warp
age
(mm
) Alu
min
um
man
dre
l
-4.1
x10
-3
-1.6
x10
-2
8.0
x10
-3
3.1
x10
-2
-1.4
x10
-2
Ste
el
man
dre
l
8.5
x10
-4
-2.6
x10
-2
8.8
x10
-3
3.9
x10
-2
-1.5
x10
-2
No
shri
nk
age
-7.7
x10
-3
-7.1
x10
-2
1.3
x10
-2
8.4
x10
-2
5.7
x10
-2
Th
ick
nes
s (m
m) A
lum
inu
m
man
dre
l
1.9
937
1.9
928
1.9
901
1.9
888
1.9
895
1.9
877
1.9
890
1.9
873
1.9
842
1.9
858
Ste
el
man
dre
l
1.9
914
1.9
907
1.9
890
1.9
878
1.9
887
1.9
870
1.9
877
1.9
867
1.9
842
1.9
858
No
shri
nk
age
1.9
977
1.9
968
1.9
981
1.9
950
1.9
972
1.9
934
1.9
954
1.9
917
1.9
922
1.9
871
Sp
rin
g-i
n (
º) A
lum
inu
m
man
dre
l
0.0
4
0.0
6
0.2
7
0.2
6
0.4
9
0.5
1
0.5
7
0.6
3
0.7
0
0.6
7
Ste
el
man
dre
l
0.0
5
0.0
7
0.2
7
0.2
6
0.5
2
0.5
3
0.6
0
0.6
6
0.7
0
0.6
6
No
shri
nk
age
0.0
2
0.0
2
0.1
4
0.1
1
0.2
3
0.2
7
0.2
9
0.4
1
0.4
2
0.5
4
Face
Sym
.
Fa
ce
En
d
face
Sym
.
Fa
ce
En
d
face
Sym
.
Fa
ce
En
d
face
Sym
.
Fa
ce
En
d
face
Sym
.
Fa
ce
En
d
face
Layu
p
[0º]
8
[+30/-
30/
-30/+
30] s
[+45/-
45/
-45/+
45] s
[+60/-
60/
-60/+
60] s
[90º]
8
-189-
The chemical shrinkages of the composite in the three directions were determined
using the dimension variations of the laminate Δli during the cure as follows:
Eq. 6-2
Only the shrinkage occurring after the resin vitrification, when the resin had build
up a significant elastic modulus, was assumed to contribute to the residual
stresses. Actually, before the vitrification, most of the generated strain can be
relaxed due to the resin viscous behaviour. A similar assumption was used in
[113] to estimate the shrinkage components. The composite cure shrinkage
coefficients are reported in Table 6-4. The hoop and radial chemical shrinkage of
the composite were used as l and t respectively in Eq. 2-25. The analytical
spring-in values are then summarized in Table 6-5.
Table 6-4: Composite cure shrinkage coefficients in the longitudinal, hoop and
radial directions
Layup c,L (10-5 m/m)
c,θ (10-5 m/m)
c,r (10-5 m/m)
[0º]8 0 7.99 7.99
[+30/-30/-30/+30]s -1.30 6.39 10.72
[+45/-45/-45/+45]s 0.89 0.89 13.71
[+60/-60/-60/+60]s 6.15 -1.30 10.72
[90º]8 7.98 0 7.99
-190-
Table 6-5: Analytical spring-in values for the different laminate layups
Layup [0]8 [+30/-30/
-30/+30]s
[+45/-45/
-45/+45]s
[+60/-60/
-60/+60]s [90]8
CTEc,θ (10
-6 ºC
-1)
31.4 20.8 4.1 -3.5 -0.16
CTEc,r (10
-6 ºC
-1)
31.4 38.6 43.1 38.6 31.4
c,θ (10
-5m/m)
7.99 6.39 0.89 -1.30 0
c,r (10
-5m/m)
7.99 10.72 13.71 10.72 7.99
ΔT (ºC) 150 150 150 150 150
θTH (º) 0.0 0.242 0.531 0.572 0.428
θS (º) 0.0 0.004 0.012 0.011 0.007
θ (º) 0.0 0.246 0.543 0.583 0.435
Figure 6-23 shows the influence of the layup on the spring-in. The spring-in was
negligible for the laminate oriented at 0º and increased as the fibre orientation
follows the curvature of the composite part. Nevertheless, the values of the
spring-in remain small (< 1º). The results demonstrate as well the significant
influence of the resin shrinkage on the spring-in, as an increase up to 50% was
observed in the numerical spring-in values due to the shrinkage strain. The
numerical spring-in values were compared to the analytical values predicted by
the Radford equations (Eq. 2-41 and Eq. 2-25). Overall, the analytical and
numerical spring-in values followed the same trend. The numerical values of the
spring-in, taking into account the effect of the shrinkage, are in reasonable
agreement with the analytical values of the total spring-in ((θTH + θS). Good
agreements are observed as well for the unidirectional laminates without the
influence of the shrinkage. However, more discrepancy can be observed between
the analytical and numerical spring-in of the angle-ply laminates without
considering the resin shrinkage.
Considering now the values of the spring-in taking into account the effect of the
shrinkage, the difference between the analytical and numerical values might be
-191-
due to the effect of the mould interaction, which was not considered with the Eq.
2-25. This demonstrates that the tool-part interaction has a possible influence on
the process-induced deformations. From Figure 6-23, the effect of the tool-part
interaction seems more important for the [+60/-60/-60/+60]s and [90]8 laminates.
In those configurations, this laminates present the maximal CTE difference with
the mould in the hoop direction. This CTE mismatch can generate a through-
thickness stress gradient which is released when the cylinder is cut, leading to an
increase in spring-in. Nevertheless, the tool-part interaction does not seem to be a
major mechanism leading to the cylinder spring-in variation. Similar conclusions
were observed experimentally for autoclaved L-shape composite brackets [113],
where the tool-part interaction affected more significantly the flange warpage
component than the corner component.
From Table 6-3, a difference can be noticed between the spring-in reported at the
symmetric face and the end face of the cylinder. This difference was due to a
bending of the cylinder in the longitudinal direction. As the stresses are released,
the cylinder warps away from the mould leading to a greater spring-in at the free
end of the cylinder as shown in Figure 6-22. The values of the warpage are also
reported in Table 6-3.
Figure 6-24 compares the spring-in values obtained with a steel and an aluminum
mandrel. The change of the mandrel material does not affect the spring-in
significantly. In the case of open mould processes, such as autoclave or filament
winding, previous studies observed higher composite strains and spring-in using
moulds with higher thermal expansion [111, 113, 154]. For this type of processes,
the mould stretched the laminate during the initial heat-up of the cure cycle,
generating shear stresses at the interface between the mould and the composite
and high through-thickness stress gradient in the laminate. These interfacial
stresses and through-thickness stress gradients were locked in the composite as it
cured and led to residual stresses and deformations at the demoulding. For the
RTM process, the mould was preheated to the curing temperature before the
injection. Hence, there is only a small amount of stress gradients that remains
locked in the composite during the cure due to the mould expansion. This explains
-192-
that the change of mandrel material from steel to aluminum does not affect the
residual stresses and the spring-in for the RTM process. Finally, the thickness
variation is negligible (<1%) for all simulations.
Figure 6-23: Effect of the resin shrinkage and the laminate layup on the spring-in
value at the end face
-193-
Figure 6-24: Effect of the laminate layup and the mandrel material on the spring-
in value at the end face
6.3 Summary and discussion
In this chapter, a numerical study was performed to analyse the dimensional
stability of representative composite part manufactured by the RTM process. Five
different laminate sequences were investigated. The cure-dependent factors, such
as thermal strain and volumetric shrinkage, as well as tool-part interactions were
taken into account simultaneously to compute the process-induced strains and
stresses and deformations. The following conclusions emphasized:
1) The simulations captured the possible debonding of the composite from
the mould due to the tool-part interaction and the difference in thermal
expansion coefficient and the shrinkage strain. In most cases, this
debonding occurred during the cool down of the cure cycle. However, for
the [90]8 laminate, the separation happened during the isotherm primarily
due to the significant effect of the shrinkage in the radial direction. The
ease of demoulding (mandrel extraction) was also estimated by analyzing
-194-
the state of stresses in the moulds at the end of the cure and was found to
be dependent of the material properties and the laminate layup.
2) The process-induced deformations were predicted for the different layup
configurations. As expected, these results showed the significant
contribution of the thermal strain and the shrinkage strain on the spring-in
variation. However, the tool-part interaction do not seem to be a major
mechanism leading to process-induced deformations in the case of the
RTM process.
3) For the thermal boundary conditions tested, representative of the RTM
process, the change of the mandrel material did not have a notable
influence on the process-induced deformations.
This process modelling approach can be applied to determine to process-induced
deformations of different geometry configurations, such as L-shape or C-shape
brackets.
-195-
CHAPTER 7 Conclusions and Future Work
This work investigated the factors leading to the generation of process-induced
stresses and deformations in woven composites manufactured by Resin transfer
Moulding. Both intrinsic and extrinsic mechanisms were examined. The
contributions of this work are summarized as follows.
1) A comprehensive methodology was developed to characterize the
processing properties of thermoset resin systems. As a case study, this
phenomenal approach was then applied for the characterization of a
specific epoxy resin, CYCOM 890RTM epoxy resin. Empirical models
were developed in order to determine the evolution of the resin property
(cure kinetics, viscosity, glass transition temperature, cure shrinkage,
coefficient of thermal expansion and elastic modulus) for any temperature
cycle. These models were essential to establish a clear understanding of
the resin behaviour during the processing conditions. Among the different
chemo-physical resin properties, a particular effort was involved in the
measurement of the resin cure shrinkage. Two measurement methods were
improved and validated. It was determined that the total cure shrinkage of
CYCOM 890RTM epoxy resin was 10%, of which 3.4% occurred after the
gel point. It was then assume that only the resin cure shrinkage happening
after the vitrification, when the resin has developed a significant elastic
modulus, would induce residual stresses. The developed models were then
implemented in finite element software in order to solve coupled
thermochemical-stress processing problems and predict the evolution of
laminate properties during the manufacturing process.
2) The thermomechanical properties of 5-Harness satin woven fabrics
were investigated numerically using a micromechanical approach.
-196-
Unit cells or periodic units representative of the global composite structure
were developed for the different laminate configurations and periodic
boundary conditions were applied to ensure the continuity in displacement
at the unit cell boundaries. The elastic constants and coefficient of thermal
expansion were determined for different fibre volume fractions
corresponding to typical volume fraction used in the RTM process and
compared to equivalent unidirectional crossply laminates. Overall, the
thermomechanical properties of a 5-HS woven fabric laminate are very
comparable to an equivalent unidirectional crossply laminate. The main
difference results in the in-plane shear modulus G12 which is higher than
the crossply one due to the yarn interlacing effect. This validates the use of
the properties of unidirectional fibre in a crossply configuration to model
the behaviour of 5-harness satin woven fabric laminate. The properties of
the unidirectional fibre were therefore implemented in the finite element
software to predict the properties of the 5-harness satin woven laminate
during the manufacturing process.
3) Fibre Bragg Grating sensors were used to characterize the tool-part
interaction for the RTM process. The optic sensors captured the
separation of the composite from the mould due to their difference in
coefficient of thermal expansion during the cool down period. The
maximum shear stress stand by the laminate before the debonding was
estimated to be 140 kPa for a steel mould. Finite element analyses were
used to simulate the tool-part interaction. Different boundary conditions
were applied at the composite/mould interface. The frictional contact
conditions, using the maximum shear stress observed experimentally,
successfully predicted the measured composite in-plane strain
development as well as the separation of the laminate from the mould for
the RTM process. This frictional contact constraint was then used in the
process modelling to simulate the tool-part interaction occurring during
the RTM process.
-197-
4) Finally, taking simultaneously into account the intrinsic and extrinsic
mechanisms investigated and mentioned above, the RTM process was
then modelled. The developed epoxy resin properties models, the carbon
fibre unidirectional properties, as well as the investigated frictional contact
conditions were implemented in a numerical case study to compute the
process-induced strains, stresses and deformations generated during the
RTM process. The effect of the laminate sequences and the mould
material were also investigated. The simulations predicted a debonding of
the laminate mainly due to the coefficient of thermal expansion mismatch
between the composite and the mould. However, depending of the
laminate layup, the cure shrinkage can have a significant influence on the
separation of the laminate from the mould during the process. The
predicted process-induced deformations varied with the laminate
sequences. A maximum spring-in was found for the 60º angle-ply
laminate and the 90º unidirectional laminate due to the maximal difference
between their longitudinal and transversal properties. A significant
increase of the spring-in value with the resin shrinkage was observed.
Contrary to the autoclave process, the results showed a small influence of
the tool-part interaction for the RTM process, and the change of the
mandrel material did not affect the value of the spring-in. The numerical
total spring-in agreed reasonably well with the corresponding analytical
values. This case study also validates the use of an existing process
modelling approach, originally developed for the autoclave process,
for three-dimensional composite parts manufactured by the RTM
process.
In conclusion, a predictive tool to simulate the strains, stresses and deformation
generated during the RTM process was developed. This process modelling tool
accounts for the resin cure-dependent properties developed in CHAPTER 3, the
composite properties investigated in CHAPTER 4 and the tool-part interaction
-198-
examined in CHAPTER 5. This process modelling approach was then applied to a
numerical case study in CHAPTER 6, establishing the efficacy of this tool to
predict the process-induced deformations. This approach can be then applied to
various 3D geometry configurations and/or manufacturing processes,
demonstrating the potential value of this work for industrial purposes.
For future work on the investigation of the process-induced deformations in
woven composite manufactured by RTM, further studies could be carried out in
order to examine different issues that arose during the course of this project:
1) Micromechanics constitutive laws for the thermomechanical properties of
woven fabric could be developed. Actually, it was demonstrated in
CHAPTER 4 that the properties of the 5-HS woven fabric were similar to
an equivalent unidirectional crossply configuration. However, this might
not be true for a plain weave or twill woven architecture where the fibre
waviness is more dominant. With the increasing use of woven fabric in
industry, the implementation of the “true” woven fabric properties in the
COMPRO CCA platform would expend greatly its modelling capabilities
and increase the results accuracy. Further experimental validation of the
unit cell approach by characterizing the fabric properties at various fibre
volume fractions would be also interesting to carry out.
2) The use of FBG sensors for complementary experiments could be carried
out to investigate the effect of the parameters that were examined
numerically (i.e. laminate layup and the mould material). Also, pressure
sensors could be added in the experimental set-up in order to measure the
pressure variation during the RTM process.
3) Further validation of the RTM process modelling could be investigated
using an extensive experiment approach. As different mechanisms leading
to the process-induced stress occurred simultaneously, experimental set-
-199-
ups should be developed in order to isolate each effect individually. Also,
the effect of more extrinsic parameters such as the laminate layup, the tool
material, the composite geometry or the cure cycle could be investigated
experimentally.
4) This RTM process modelling could be also combined with mould filling
simulations in order to take into account the effect of the resin flow, the
fibre permeability and the fibre compaction on the process-induced strains,
stresses and deformations.
-200-
References
1. High Performances Composites, March 2006: p. 44-49.
2. Manson, J.-A.E., in Comprehensive Composite Material. 2000.
3. Potter, K.D., The early history of the resin transfer moulding process for
aerospace applications. Composites Part A: Applied Science and
Manufacturing, 1999. 30(5): p. 619-621.
4. Potter, K.D., Resin Transfer Moulding, Springer, Editor. 1997.
5. Fong, L., Advrani, S.G., Resin transfer molding, in Handbook of
Composites, S.T. Peters, Editor. 1998, Chapman & Hall: London. p. 433-
455.
6. Potter, K.D., Resin Transfer Moulding. 1997: Springer.
7. Shojaei, A., Ghaffarian, S. R., Karimian, S. M. H., Modeling and
simulation approaches in the resin transfer molding process: A review.
Polymer Composites, 2003. 24(4): p. 525-544.
8. Coulter, J.P. and S.I. Güçeri, Resin impregnation during composites
manufacturing: Theory and experimentation. Composites Science and
Technology, 1989. 35(4): p. 317-330.
9. Bruschke, M.V., Advani, S. G., A finite element/control volume approach
to mold filling in anisotropic porous media. Polymer Composites, 1990.
11(6): p. 398-405.
10. Young, W.B., Rupel, K., Han, K., Lee, L. J., Liou, Ming J. , Analysis of
resin injection molding in molds with preplaced fiber mats. II: Numerical
simulation and experiments of mold filling. Polymer Composites, 1991.
12(1): p. 30-38.
11. Young, W.B., Han, K., Fong, L. H., Lee, L. James, Flow simulation in
molds with preplaced fiber mats. Polymer Composites, 1991. 12(6): p.
391-403.
12. Um, M.-K., Lee, Woo Il, A study on the mold filling process in resin
transfer molding. Polymer Engineering & Science, 1991. 31(11): p. 765-
771.
13. Trochu, F., Gauvin, R., Gao, D. M., Numerical analysis of the resin
transfer molding process by the finite element method. Advances in
Polymer Technology, 1993. 12(4): p. 329-342.
14. Boccard, A., W.I. Lee, and G.S. Springer, Model for Determining the Vent
Locations and the Fill Time of Resin Transfer Molds. Journal of
Composite Materials, 1995. 29(3): p. 306-333.
15. Voller, V.R., Peng, S. , An algorithm for analysis of polymer filling of
molds. Polymer Engineering & Science, 1995. 35(22): p. 1758-1765.
16. Lin, R.J., Lee, L. James, Liou, Ming J., Mold filling and curing analysis
in liquid composite molding. Polymer Composites, 1993. 14(1): p. 71-81.
17. Lee, L.J., W.B. Young, and R.J. Lin, Mold filling and cure modeling of
RTM and SRIM processes. Composite Structures, 1994. 27(1-2): p. 109-
120.
-201-
18. Chan, A.W., Hwang, Sun-Tak Modeling nonisothermal impregnation of
fibrous media with reactive polymer resin. Polymer Engineering &
Science, 1992. 32(5): p. 310-318.
19. Abbassi, A. and M.R. Shahnazari, Numerical modeling of mold filling and
curing in non-isothermal RTM process. Applied Thermal Engineering,
2004. 24(16): p. 2453-2465.
20. Young, W.-B., Three-dimensional nonisothermal mold filling simulations
in resin transfer molding. Polymer Composites, 1994. 15(2): p. 118-127.
21. Liu, B., S. Bickerton, and S.G. Advani, Modelling and simulation of resin
transfer moulding (RTM)--gate control, venting and dry spot prediction.
Composites Part A: Applied Science and Manufacturing, 1996. 27(2): p.
135-141.
22. Pandelidis, I., Zou, Qin, Optimization of injection molding design. Part I:
Gate location optimization. Polymer Engineering & Science, 1990.
30(15): p. 873-882.
23. Pandelidis, I., Zou, Qin, Optimization of injection molding design. Part II:
Molding conditions optimization. Polymer Engineering & Science, 1990.
30(15): p. 883-892.
24. Golestanian, H. and A. Sherif El-Gizawy, Cure dependent lamina stiffness
matrices of resin transfer molded composite parts with woven fiber mats.
Journal of Composite Materials, 1997. 31(23): p. 2402.
25. Golestanian, H. and A.S. El-Gizawy, Modeling of process induced
residual stresses in resin transfer molded composites with woven fiber
mats. Journal of Composite Materials, 2001. 35(17): p. 1513.
26. Svanberg, J.M., C. Altkvist, and T. Nyman, Prediction of shape
distortions for a curved composite C-spar. Journal of Reinforced Plastics
and Composites, 2005. 24(3): p. 323.
27. Prime, B., Thermal Characterization of Polymeric materials. 1981,
Academic Press: New York.
28. Kamal, M.R., Sourour, S., Kinetics and thermal characterization of
thermoset cure. Polymer Engineering & Science, 1973. 13(1): p. 59-64.
29. Kamal, M., R., Thermoset characterization for moldability analysis.
Polymer Engineering & Science, 1974. 14(3): p. 231-239.
30. González-Romero, V.M., Casillas, N. , Isothermal and temperature
programmed kinetic studies of thermosets. Polymer Engineering &
Science, 1989. 29(5): p. 295-301.
31. Khanna, U., Chanda, Manas Kinetics of anhydride curing of isophthalic
diglycidyl ester using differential scanning calorimetry. Journal of Applied
Polymer Science, 1993. 49(2): p. 319-329.
32. Cole, K.C., J.J. Hechler, and D. Noel, A new approach to modeling the
cure kinetics of epoxy/amine thermosetting resins. 2. Application to a
typical system based on bis[4-(diglycidylamino)phenyl]methane and bis(4-
aminophenyl) sulfone. Macromolecules, 1991. 24(11): p. 3098-3110.
33. Hubert, P., Johnston, A., Poursartip, A., Nelson, K., Cure kinetics and
viscosity models for Hexcel 8552 epoxy resin, in International SAMPE
Symposium and Exhibition. 2001. p. 2341-2354.
-202-
34. Lee, S.-N., Chiu, Ming-Tsung, Lin, Ho-Sheng Kinetic model for the
curing reaction of a tetraglycidyl diamino diphenyl methane/diamino
diphenyl sulfone (TGDDM/DDS) epoxy resin system. Polymer
Engineering & Science, 1992. 32(15): p. 1037-1046.
35. Castro, J.M., Macosko, C. W., Studies of mold filling and curing in the
reaction injection molding process. AIChE Journal, 1982. 28(2): p. 250-
260.
36. Parker, M.J., Test methods for physical properties in Comprehensive
Composite materials. Anthony Kelly and Carl Zweben editors, 2000.
chapter 5.9.
37. Pascault, J.P., Williams, R. J. J., Glass transition temperature versus
conversion relationships for thermosetting polymers. Journal of Polymer
Science Part B: Polymer Physics, 1990. 28(1): p. 85-95.
38. O'Brien, D.J., White, Scott R. , Cure kinetics, gelation, and glass
transition of a bisphenol F epoxide. Polymer Engineering & Science,
2003. 43(4): p. 863-874.
39. Simon, S.L., Mckenna, Gregory B., Sindt Olivier Modeling the evolution
of the dynamic mechanical properties of a commercial epoxy during cure
after gelation. Journal of Applied Polymer Science, 2000. 76(4): p. 495-
508.
40. Prasatya, P., G.B. McKenna, and S.L. Simon, A Viscoelastic Model for
Predicting Isotropic Residual Stresses in Thermosetting Materials: Effects
of Processing Parameters. Journal of Composite Materials, 2001. 35(10):
p. 826-848.
41. Svanberg, J.M. and J.A. Holmberg, Prediction of shape distortions Part I.
FE-implementation of a path dependent constitutive model. Composites
Part A: Applied Science and Manufacturing, 2004. 35(6): p. 711.
42. Theriault, R.P. and T.A. Osswald, Processing induced residual stress in
asymmetric laminate panels. Polymer Composites, 1999. 20(3): p. 493.
43. Ruiz, E. and F. Trochu, Thermomechanical Properties during Cure of
Glass-Polyester RTM Composites: Elastic and Viscoelastic Modeling.
Journal of Composite Materials, 2005. 39(10): p. 881-916.
44. Hill, R.R., Jr., S.V. Muzumdar, and L.J. Lee, Analysis of volumetric
changes of unsaturated polyester resins during curing. Polymer
Engineering and Science, 1995. 35(10): p. 852.
45. ASTM D2566-79 Standard test method for linear shrinkage of cured
thermosetting casting resins during cure.
46. Oberholzer, T.G., R.G. Sias, H.P. Cornelis, and J.R. Roelof, A modified
dilatometer for determining volumetric polymerization shrinkage of dental
materials. Measurement Science and Technology, 2002(1): p. 78.
47. Snow, A.W., Armistead, J. Paul, A simple dilatometer for thermoset cure
shrinkage and thermal expansion measurements. Journal of Applied
Polymer Science, 1994. 52(3): p. 401-411.
48. Lai, J.H. and A.E. Johnson, Measuring polymerization shrinkage of photo-
activated restorative materials by a water-filled dilatometer. Dental
Materials, 1993. 9(2): p. 139.
-203-
49. Cook, W.D., M. Forrest, and A.A. Goodwin, A simple method for the
measurement of polymerization shrinkage in dental composites. Dental
Materials, 1999. 15(6): p. 447.
50. Daniel, I.M., Wang, T-M., Karalekas, D., Gotro, J.T., Determination of
chemical cure shrinkage on composite laminates. Journal of Composites
Technology & Research, 1990. 12930: p. 172-176.
51. Yu, H., S. Mhaisalkar, and E. Wong, Cure shrinkage measurement of
nonconductive adhesives by means of a thermomechanical analyzer.
Journal of Electronic Materials, 2005. 34(8): p. 1177.
52. Schoch, J.K.F., P.A. Panackal, and P.P. Frank, Real-time measurement of
resin shrinkage during cure. Thermochimica Acta, 2004. 417(1): p. 115.
53. Watts, D.C. and A.J. Cash, Kinetic measurements of photo-polymerization
contraction in resins and composites. Measurement Science and
Technology, 1991(8): p. 788.
54. Tomas, C.L., Bur, A.J, In-situ monitoring of product shrinkage during
injection molding using an optical sensor. Polymer Engineering and
Science, 1999. 39(9): p. 994-1009.
55. Haider, M., P. Hubert, and L. Lessard, Cure shrinkage characterization
and modeling of a polyester resin containing low profile additives.
Composites Part A: Applied Science and Manufacturing, 2007. 38(3): p.
994-1009.
56. Li, C., K. Potter, M.R. Wisnom, and G. Stringer, In-situ measurement of
chemical shrinkage of MY750 epoxy resin by a novel gravimetric method.
Composites Science and Technology, 2004. 64(1): p. 55.
57. Bogetti, T.A. and J.W. Gillespie, Jr., Process-Induced Stress and
Deformation in Thick-Section Thermoset Composite Laminates. Journal of
Composite Materials, 1992. 26(5): p. 626-660.
58. Curiel, T. and G. Fernlund, Deformation and stress build-up in bi-material
beam specimens with a curing FM300 adhesive interlayer. Composites
Part A: Applied Science and Manufacturing, 2008. 39(2): p. 252-261.
59. Huang, X., J.W. Gillespie, Jr., and T. Bogetti, Process induced stress for
woven fabric thick section composite structures. Composite Structures,
2000. 49(3): p. 303.
60. Johnston, A., R. Vaziri, and A. Poursartip, A plane strain model for
process-induced deformation of laminated composite structures. Journal
of Composite Materials, 2001. 35(16): p. 1435.
61. Wiersma, H.W., L.J.B. Peeters, and R. Akkerman, Prediction of
springforward in continuous-fibre/polymer L-shaped parts. Composites -
Part A: Applied Science and Manufacturing, 1998. 29(11): p. 1333.
62. O'Brien, D.J., P.T. Mather, and S.R. White, Viscoelastic Properties of an
Epoxy Resin during Cure. Journal of Composite Materials, 2001. 35(10):
p. 883-904.
63. Williams, M.L., R.F. Landel, and J.D. Ferry, The Temperature
Dependence of Relaxation Mechanisms in Amorphous Polymers and
Other Glass-forming Liquids. Journal of the American Chemical Society,
1955. 77(14): p. 3701-3707.
-204-
64. White, S.R. and H.T. Hahn, Process modeling of composite materials:
Residual stress development during cure. Part II. Experimental validation.
Journal of Composite Materials, 1992. 26(16): p. 2423.
65. Macon, D.J., Effective adhesive modulus approach for evaluation of
curing stresses. Polymer, 2001. 42(12): p. 5285.
66. Clifford, S., N. Jansson, W. Yu, V. Michaud, and J.A. Månson,
Thermoviscoelastic anisotropic analysis of process induced residual
stresses and dimensional stability in real polymer matrix composite
components. Composites Part A: Applied Science and Manufacturing,
2006. 37(4): p. 538-545.
67. Kaw, A.K., Mechanics of composite materials. 2nd ed. 2006: CRC press -
Taylor & Francis.
68. Halpin, J.C., Kardos, J. L. , The Halpin-Tsai equations: A review. Polymer
Engineering & Science, 1976. 16(5): p. 344-352.
69. Hashin, Z., Rosen, B.W., The elastic moduli of fibre reinforced materials.
ASME Journal of Applied Mechanics, 1964. 31: p. 223.
70. Whitney, J.M., Riley, M.B., Elastic properties of fibre reinforced
composite materials. AiAA journal, 1966. 4(9): p. 1537.
71. Ishikawa, T. and T.-W. Chou, Elastic Behavior of Woven Hybrid
Composites. Journal of Composite Materials, 1982. 16(1): p. 2-19.
72. Ishikawa, T. and T.-W. Chou, In-Plane Thermal Expansion and Thermal
Bending Coefficients of Fabric Composites. Journal of Composite
Materials, 1983. 17(2): p. 92-104.
73. Ishikawa, T. and T.W. Chou, Stiffness and strength behaviour of woven
fabric composites. Journal of Materials Science, 1982. 17(11): p. 3211-
3220.
74. Ishikawa, T. and T.W. Chou, Thermoelastic analysis of hybrid fabric
composites. Journal of Materials Science, 1983. 18(8): p. 2260-2268.
75. Ishikawa, T., M. Matsushima, Y. Hayashi, and T.-W. Chou, Experimental
Confirmation of the Theory of Elastic Moduli of Fabric Composites.
Journal of Composite Materials, 1985. 19(5): p. 443-458.
76. Naik, N.K. and P.S. Shembekar, Elastic behavior of woven fabric
composites: I-lamina analysis. Journal of Composite Materials, 1992.
26(15): p. 2196.
77. Naik, N.K. and P.S. Shembekar, Elastic Behavior of Woven Fabric
Composites: III -- Laminate Design. Journal of Composite Materials,
1992. 26(17): p. 2522-2541.
78. Shembekar, P.S. and N.K. Naik, Elastic behavior of woven fabric
composites: II-laminate analysis. Journal of Composite Materials, 1992.
26(15): p. 2226.
79. Ganesh, V.K. and N.K. Naik, Thermal expansion coefficients of plain-
weave fabric laminates. Composites Science and Technology, 1994. 51(3):
p. 387-408.
80. Naik, N.K. and V.K. Ganesh, Prediction of on-axes elastic properties of
plain weave fabric composites. Composites Science and Technology,
1992. 45(2): p. 135-152.
-205-
81. Naik, N.K. and V.K. Ganesh, Prediction of thermal expansion coefficients
of plain weave fabric composites. Composite Structures, 1993. 26(3-4): p.
139-154.
82. Naik, N.K. and V.K. Ganesh, Thermo-mechanical behaviour of plain
weave fabric composites: Experimental investigations. Journal of
Materials Science, 1997. 32(1): p. 267-277.
83. Hahn, H.T. and R. Pandey, A Micromechanics Model for Thermoelastic
Properties of Plain Weave Fabric Composites. Journal of Engineering
Materials and Technology, 1994. 116(4): p. 517-523.
84. Glaessgen, E.H., C.M. Pastore, O.H. Griffin, and A. Birger, Geometrical
and finite element modelling of textile composites. Composites Part B:
Engineering, 1996. 27(1): p. 43-50.
85. Woo, K. and J. Whitcomb, Global/Local Finite Element Analysis for
Textile Composites. Journal of Composite Materials, 1994. 28(14): p.
1305-1321.
86. Woo, K. and J.D. Whitcomb, Three-Dimensional Failure Analysis of
Plain Weave Textile Composites Using a Global/Local Finite Element
Method. Journal of Composite Materials, 1996. 30(9): p. 984-1003.
87. Guagliano, M., Riva, E., Mechanical behaviour prediction in plain weave
composites. Journal of Strain Analysis for Engineering Design, 2001.
36(2).
88. Dasgupta, A. and S.M. Bhandarkar, Effective Thermomechanical Behavior
of Plain-Weave Fabric-Reinforced Composites Using Homogenization
Theory. Journal of Engineering Materials and Technology, 1994. 116(1):
p. 99-105.
89. Lomov, S.V., D.S. Ivanov, I. Verpoest, M. Zako, T. Kurashiki, H. Nakai,
J. Molimard, and A. Vautrin, Full-field strain measurements for validation
of meso-FE analysis of textile composites. Composites Part A: Applied
Science and Manufacturing, 2008. 39(8): p. 1218-1231.
90. Verpoest, I. and S.V. Lomov, Virtual textile composites software WiseTex:
Integration with micro-mechanical, permeability and structural analysis.
Composites Science and Technology, 2005. 65(15-16): p. 2563-2574.
91. http://texgen.sourceforge.net/index.php/Main_Page.
92. Wisnom, M.R., M. Gigliotti, N. Ersoy, M. Campbell, and K.D. Potter,
Mechanisms generating residual stresses and distortion during
manufacture of polymer-matrix composite structures. Composites Part A:
Applied Science and Manufacturing, 2006. 37(4): p. 522.
93. Hahn, H.T. and N.J. Pagano, Curing Stresses in Composite Laminates.
Journal of Composite Materials, 1975. 9(1): p. 91-106.
94. Hahn, H.T., Residual Stresses in Polymer Matrix Composite Laminates.
Journal of Composite Materials, 1976. 10(4): p. 266-278.
95. White, S.R. and H.T. Hahn, Process modeling of composite materials:
Residual stress development during cure. Part I. Model formulation.
Journal of Composite Materials, 1992. 26(16): p. 2402.
96. Loos, A.C. and G.S. Springer, Curing of Epoxy Matrix Composites.
Journal of Composite Materials, 1983. 17(2): p. 135-169.
-206-
97. Radford, D.W. and R.J. Diefendorf, Shape Instabilities in Composites
Resulting from Laminate Anisotropy. Journal of Reinforced Plastics and
Composites, 1993. 12(1): p. 58-75.
98. Svanberg, J.M., An experimental investigation on mechanisms for
manufacturing induced shape distortions in homogeneous and balanced
laminates. Composites - Part A: Applied Science and Manufacturing,
2001. 32(6): p. 827.
99. Ersoy, N., K. Potter, M.R. Wisnom, and M.J. Clegg, Development of
spring-in angle during cure of a thermosetting composite. Composites Part
A: Applied Science and Manufacturing, 2005. 36(12): p. 1700.
100. Palardy, G., Resin volumetric changes and surface finish characterization
of composite automotive panels, Master thesis, in Department of
Mechanical Engineering. 2007, McGill University: Montreal.
101. Lange, J., S. Toll, J.-A.E. Manson, and A. Hult, Residual stress build-up in
thermoset films cured above their ultimate glass transition temperature.
Polymer, 1995. 36(16): p. 3135.
102. Radford, D.W. and T.S. Rennick, Separating sources of manufacturing
distortion in laminated composites. Journal of Reinforced Plastics and
Composites, 2000. 19(8): p. 621.
103. Svanberg, J.M. and J.A. Holmberg, Prediction of shape distortions. Part
II. Experimental validation and analysis of boundary conditions.
Composites Part A: Applied Science and Manufacturing, 2004. 35(6): p.
723.
104. Ruiz, E. and F. Trochu, Numerical analysis of cure temperature and
internal stresses in thin and thick RTM parts. Composites Part A: Applied
Science and Manufacturing, 2005. 36(6): p. 806.
105. Jain, L.K., B.G. Lutton, Y.-W. Mai, and R. Paton, Stresses and
Deformations Induced during Manufacturing. Part II: A Study of the
Spring-in Phenomenon. Journal of Composite Materials, 1997. 31(7): p.
696-719.
106. Gigliotti, M., M.R. Wisnom, and K.D. Potter, Development of curvature
during the cure of AS4/8552 [0/90] unsymmetric composite plates.
Composites Science and Technology, 2003. 63(2): p. 187-197.
107. Twigg, G., A. Poursartip, and G. Fernlund, Tool-part interaction in
composites processing. Part I: Experimental investigation and analytical
model. Composites Part A: Applied Science and Manufacturing, 2004.
35(1): p. 121.
108. Twigg, G., A. Poursartip, and G. Fernlund, Tool-part interaction in
composites processing. Part II: Numerical modelling. Composites Part A:
Applied Science and Manufacturing, 2004. 35(1): p. 135.
109. Twigg, G., A. Poursartip, and G. Fernlund, An experimental method for
quantifying tool-part shear interaction during composites processing.
Composites Science and Technology, 2003. 63(13): p. 1985.
110. Potter, K.D., M. Campbell, C. Langer, and M.R. Wisnom, The generation
of geometrical deformations due to tool/part interaction in the
-207-
manufacture of composite components. Composites Part A: Applied
Science and Manufacturing, 2005. 36(2): p. 301.
111. de Oliveira, R., S. Lavanchy, R. Chatton, D. Costantini, V. Michaud, R.
Salathé, and J.A.E. Månson, Experimental investigation of the effect of the
mould thermal expansion on the development of internal stresses during
carbon fibre composite processing. Composites Part A: Applied Science
and Manufacturing, 2008. 39(7): p. 1083-1090.
112. Fernlund, G., N. Rahman, R. Courdji, M. Bresslauer, A. Poursartip, K.
Willden, and K. Nelson, Experimental and numerical study of the effect of
cure cycle, tool surface, geometry, and lay-up on the dimensional fidelity
of autoclave-processed composite parts. Composites - Part A: Applied
Science and Manufacturing, 2002. 33(3): p. 341.
113. Albert, C. and G. Fernlund, Spring-in and warpage of angled composite
laminates. Composites Science and Technology, 2002. 62(14): p. 1895.
114. Pillai, V., A.N. Beris, and P. Dhurjati, Intelligent Curing of Thick
Composites Using a Knowledge-Based System. Journal of Composite
Materials, 1997. 31(1): p. 22-51.
115. Min, L., Tucker, Charles L. III, Optimal curing for thermoset matrix
composites: Thermochemical and consolidation considerations. Polymer
Composites, 2002. 23(5): p. 739-757.
116. Antonucci, V., M. Giordano, K.-T. Hsiao, and S.G. Advani, A
methodology to reduce thermal gradients due to the exothermic reactions.
International Journal of Heat and Mass Transfer, 2002. 45(8): p. 1675.
117. Lee, D.H., S.K. Kim, W.I. Lee, S.K. Ha, and S.W. Tsai, Smart cure of
thick composite filament wound structures to minimize the development of
residual stresses. Composites Part A: Applied Science and Manufacturing,
2006. 37(4): p. 530.
118. Darrow Jr, D.A. and L.V. Smith, Isolating components of processing
induced warpage in laminated composites. Journal of Composite
Materials, 2002. 36(21): p. 2407.
119. Radford, D.W., Volume fraction gradient induced warpage in curved
composite plates. Composites Engineering, 1995. 5(7): p. 923-927, 929-
934.
120. Huang, C.K. and S.Y. Yang, Warping in advanced composite tools with
varying angles and radii. Composites - Part A: Applied Science and
Manufacturing, 1997. 28(9-10): p. 891.
121. Dong, C., C. Zhang, Z. Liang, and B. Wang, Assembly dimensional
variation modelling and optimization for the resin transfer moulding
process. Modelling and Simulation in Materials Science and Engineering,
2004. 12(3): p. 221-237.
122. Zhu, Q., P.H. Geubelle, M. Li, and C.L. Tucker Iii, Dimensional accuracy
of thermoset composites: Simulation of process-induced residual stresses.
Journal of Composite Materials, 2001. 35(24): p. 2171.
123. McManus, H.L. and E. Abernathy, Effects of material and manufacturing
variations on dimensionally stable composite structure. Journal of
Reinforced Plastics and Composites, 1997. 16(3): p. 270.
-208-
124. Fernlund, G., A. Osooly, A. Poursartip, R. Vaziri, R. Courdji, K. Nelson,
P. George, L. Hendrickson, and J. Griffith, Finite element based
prediction of process-induced deformation of autoclaved composite
structures using 2D process analysis and 3D structural analysis.
Composite Structures, 2003. 62(2): p. 223-234.
125. Antonucci, V., A. Cusano, M. Giordano, J. Nasser, and L. Nicolais, Cure-
induced residual strain build-up in a thermoset resin. Composites Part A:
Applied Science and Manufacturing, 2006. 37(4): p. 592.
126. Darcy, H., ed. Les Fontaines publiques de la ville de Dijon. 1856,
Dalmont: Paris.
127. Dungan, F.D. and A.M. Sastry, Saturated and unsaturated polymer flows:
Microphenomena and modeling. Journal of Composite Materials, 2002.
36(13): p. 1581.
128. Gutowski, T.G., T. Morigaki, and C. Zhong, The Consolidation of
Laminate Composites. Journal of Composite Materials, 1987. 21(2): p.
172-188.
129. CYCOM 890RTM data sheet. www.cytec.com.
130. Mezger, T.G., The rheology hanbook: For users of rotational and
oscillatory rheometers. 2nd ed.
131. Halley, P.J., Mackay, Michael E., Chemorheology of thermosets - an
overview. Polymer Engineering & Science, 1996. 36(5): p. 593-609.
132. Dykeman, D., Poursartip, Anoush Process maps for design of cure cycles
for thermoset matrix composite materials. in 36th International SAMPE
Technical Conference - Material and Processing: Sailing into the Future.
2004.
133. Schoutens, J.E., Simple and precise measurements of fibre volume and
void fractions in metal matrix composite materials. Journal of Materials
Science, 1984. 19(3): p. 957-964.
134. G30-500 6k carbon fibre data sheet. http://www.tohotenaxamerica.com/.
135. CYCOM 5215 data sheet. www.cytec.com.
136. Standard test method for constituent content of composite materials.
ASTM Standard D3171-06.
137. Kar-Gupta, R. and T.A. Venkatesh, Electromechanical response of 1-3
piezoelectric composites: A numerical model to assess the effects of fiber
distribution. Acta Materialia, 2007. 55(4): p. 1275-1292.
138. Xia, Z., C. Zhou, Q. Yong, and X. Wang, On selection of repeated unit
cell model and application of unified periodic boundary conditions in
micro-mechanical analysis of composites. International Journal of Solids
and Structures, 2006. 43(2): p. 266-278.
139. Whitcomb, J.D., C.D. Chapman, and X. Tang, Derivation of Boundary
Conditions for Micromechanics Analyses of Plain and Satin Weave
Composites. Journal of Composite Materials, 2000. 34(9): p. 724-747.
140. Naik, A., N. Abolfathi, G. Karami, and M. Ziejewski, Micromechanical
Viscoelastic Characterization of Fibrous Composites. Journal of
Composite Materials, 2008. 42(12): p. 1179-1204.
-209-
141. Palardy, G., P. Hubert, M. Haider, and L. Lessard, Optimization of RTM
processing parameters for Class A surface finish. Composites Part B:
Engineering, 2008. 39(7-8): p. 1280-1286.
142. Lawrence, C.M., D.V. Nelson, T.E. Bennett, and J.R. Spingarn, An
embedded fiber optic sensor method for determining residual stresses in
fiber-reinforced composite materials. Journal of Intelligent Material
Systems and Structures, 1998. 9(10): p. 788.
143. Giordano, M., A. Laudati, J. Nasser, L. Nicolais, A. Cusano, and A.
Cutolo, Monitoring by a single fiber Bragg grating of the process induced
chemo-physical transformations of a model thermoset. Sensors and
Actuators A: Physical, 2004. 113(2): p. 166.
144. Jinno, M., S. Sakai, K. Osaka, and T. Fukuda, Smart autoclave processing
of thermoset resin matrix composites based on temperature and internal
strain monitoring. Advanced Composite Materials, 2003. 12(1): p. 57.
145. Kang, H.-K., D.-H. Kang, H.-J. Bang, C.-S. Hong, and C.-G. Kim, Cure
monitoring of composite laminates using fiber optic sensors. Smart
Materials and Structures, 2002(2): p. 279.
146. Kalamkarov, A.L., S.B. Fitzgerald, and D.O. MacDonald, The use of
Fabry Perot fiber optic sensors to monitor residual strains during
pultrusion of FRP composites. Composites Part B: Engineering, 1999.
30(2): p. 167-175.
147. O' Dwyer, M.J., G.M. Maistros, S.W. James, R.P. Tatam, and I.K.
Partridge, Relating the state of cure to the real-time internal strain
development in a curing composite using in-fibre Bragg gratings and
dielectric sensors. Measurement Science and Technology, 1998(8): p.
1153.
148. Sorensen, L., T. Gmür, and J. Botsis, Residual strain development in an
AS4/PPS thermoplastic composite measured using fibre Bragg grating
sensors. Composites Part A: Applied Science and Manufacturing, 2006.
37(2): p. 270-281.
149. Leng, J.S. and A. Asundi, Real-time cure monitoring of smart composite
materials using extrinsic Fabry-Perot interferometer and fiber Bragg
grating sensors. Smart Materials and Structures, 2002(2): p. 249.
150. Hill, K.O. and G. Meltz, Fiber Bragg grating technology fundamentals
and overview. Journal of Lightwave Technology, 1997. 15(8): p. 1263-
1276.
151. Kannan, S., J.Z.Y. Guo, and P.J. Lemaire, Thermal stability analysis of
UV-induced fiber Bragg gratings. Lightwave Technology, Journal of,
1997. 15(8): p. 1478-1483.
152. Kaddour, A.S., S.T.S. Al-Hassani, and M.J. Hinton, Residual Stress
Assessment in Thin Angle Ply Tubes. Applied Composite Materials, 2003.
10(3): p. 169-188.
153. Kim, Y.K. and S.R. White, Cure-dependent viscoelastic residual stress
analysis of filament-wound composite cylinders. Mechanics of Advanced
Materials and Structures, 1998. 5(4): p. 327 - 354.
-210-
154. White, S.R. and Z. Zhang, The Effect of Mandrel Material on the
Processing-Induced Residual Stresses in Thick Filament Wound
Composite Cylinders. Journal of Reinforced Plastics and Composites,
1993. 12(6): p. 698-711.
155. Centea, T., Resin Characterization and Numerical Modelling of Process-
Induced Deformations, Honor Thesis, in Mechanical Engineering. 2007,
McGill Unversity: Montreal.
-211-
Appendix A Complements on Material Characterization
Appendix A regroups some extra information on diverse aspect of the material
characterization.
A.1. DSC measurements
Figure A-1 and Figure A-2 show the test reproducibility under dynamic and
isothermal conditions.
Figure A-1: Dynamic test reproducibility at 1ºC/min and 2ºC/min temperature
ramp
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Figure A-2: Isothermal test reproducibility at 160ºC, 170ºC, 180ºC and 190ºC
A.2. Rheological measurements
Figure A-3 and Figure A-4 present the strain sweep and time sweep tests
performed in order to determine the LVR. From these results, the resin LVR was
determined at 15% strain and 1Hz frequency.
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Figure A-3: Strain sweep test performed at 1Hz frequency in oscillatory mode
Figure A-4: Time sweep performed at 15% strain and 1Hz in oscillatory mode
Figure A-5 to Figure A-7 show the reproducibility of the rheological tests under
isothermal conditions, and Figure A-8 to Figure A-10 show the reproducibility of
the rheological tests under dynamic conditions. Overall, for each condition, the
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gel point occurred at the same time. The value of the minimal viscosity varied a
little but not significantly.
Figure A-5: Viscosity tests at 170ºC at 15% strain and 1Hz in oscillatory mode
Figure A-6: Viscosity tests at 180ºC at 15% strain and 1Hz in oscillatory mode
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Figure A-7: Viscosity tests at 190ºC at 15% strain and 1Hz in oscillatory mode
Figure A-8: Dynamic viscosity tests for a temperature ramp of 1ºC/min at 15%
strain and 1Hz in oscillatory mode
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Figure A-9: Dynamic viscosity tests for a temperature ramp of 2ºC/min at 15%
strain and 1Hz in oscillatory mode
Figure A-10: Dynamic viscosity tests for a temperature ramp of 3ºC/min at 15%
strain and 1Hz in oscillatory mode
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A.3. Solid samples preparation for the rheometer in
torsion mode
Neat resin plaques were pre-cured in an oven on an aluminum plaque with an
embedded K thermocouple. The thermocouple readings, acquired every 30
seconds and automatically fed into the cure kinetics and viscosity models allowed
real-time tracking of the degree-of-cure. When the desired post-gelation degree-
of-cure 1 was attained, the plaques were removed from the oven and quickly
cooled. Once at room temperature, the plaques were cut using a ceramic saw and
polished with sandpaper into samples approximately 45mm long, 13mm wide and
1.5mm thick. The exact dimensions of each specimen were measured before
testing. As the resin exhibits a very low fracture toughness close to the gel point,
the sample were pre-cured above = 0.8, so that they did not break in the
rheometer during the torsion test. Table A-1 presents the details of the pre-cured
solid plaque. The three first plaques where used to determine the fully cured
behaviour of the resin. Plaques 4 and 5 were used to measure the evolution of Tg
and the elastic modulus with the temperature and the degree-of-cure. The final
column of Table A-1 provides the total number of specimens cut form each
plaque. Note that not all specimens cut were used to obtain final data. Some were
used to test different approaches or testing conditions while others were simply
invalidated due to inadequate quality or known experimental errors.
Table A-1: Pre-cured plaque information
Plaque Isotherm time
(min)
Isotherm
temp (ºC) α1
Nb. of
samples
1
2
3
4
5
320
320
320
154
150
160
170
180
180
180
0.95
0.98
1
0.847
0.827
5
4
4
4
4
To measure the evolution of the glass transition temperature, the pre-cured
samples was heated at 5ºC/min in the rheometer while its degree of cure was
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tracked by means of the cure kinetics model as shown in Figure A-11. .Once the
resin passed the glass transition temperature (2), determined by one of the three
modulus based indicators, the resin was brought to the manufacturer
recommended cure temperature of 180ºC and allowed to isothermally reach a
desired degree of cure α2, as shown at (3). Then, the sample was quickly removed
from the rheometer and cooled. The procedure was then repeated from α2 to a
higher α3 and so on to measure the Tg for different values of degree-of-cure.
Figure A-11: Glass transition temperature measurement process. The arrows
correspond to one of the three glass transition temperature indicators [155]
Table A-2 summarizes the degree-of-cure evolution the samples underwent during
the experiments. α1 denotes the pre-cure degree of cure right after removal from
the oven. Samples from plaques 4 and 5 were eventually cured to high values, so
as to confirm the results of plaques 1, 2 and 3.
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Table A-2: Degree-of-cure evolution for samples used for the glass transition
temperature measurements
Plaque Sample α1 α2 α3 α4 α5
1 a 0.95 0.95
b 0.95 0.95
2 a 0.98 0.98
b 0.98 0.98
3 a 1 1
b 1 1
c 1 1
4 a 0.847 0.9 0.91
b 0.847 0.87 0.931 0.961 0.981
5 a 0.827 0.883 0.915 0.936
b 0.827 0.926 0.969
Table A-3 shows the evolution of the degree-of-cure during the tensile modulus
experiments. These experiments were carried out under isothermal conditions at
180ºC and 160ºC.
Table A-3: Degree-of-cure evolution for samples used for the tensile modulus
measurements
Plaque Sample α1 α2
4 c 0.847 0.991
5 c 0.827 0.998