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Ph. D. Defense Computational Mechanics Laboratory Numerical Analysis and Optimal Design of Composite Thermoforming Process by Shih-Wei Hsiao Department of Mechanical Engineering and Applied Mechanics The University of Michigan March 25, 1997

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Page 1: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Numerical Analysis and Optimal Design ofComposite Thermoforming Process

by

Shih-Wei Hsiao

Department of Mechanical Engineering and Applied Mechanics The University of Michigan March 25, 1997

Page 2: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Outline

• Introduction

• FEM Analysis of Composite Thermoforming Process

– Rheological Characterization of Continuous fiber Composites

– Global FEM Analysis of Thermoforming Process

– Residual Stress Analysis

• Optimal Design of Composite Thermoforming Process

• Conclusions and Future Work

Page 3: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Schematic of Thermoforming Process

Microstructure

Die

Blankholder

Before forming After forming

Laminate

Page 4: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Motivations of this research

Deep drawing (stamping) of woven-fabric thermoplastic composites is amass production and precision shaping technology to produce compositecomponents.

Objectives of this research

• Develop a FEM model to analyze this thermoforming process.

• Develop an optimization algorithm based on this FEM model to optimize this forming process.

Page 5: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Why Thermoplastic Composites?

From the manufacturing viewpoints

• Thermosetting Resins– Hand layed up into structural fiber preform and impregnation after shaping– Need chemical additives to cure after shaping and very long cure cycle time– Labor intense

• Thermoplastic Resins– Shaping only depends on heat transfer and force without chemistry– In a preimpregnated continuous tape form– High processing rate– Drawback: higher processing viscosity and forming temperature (320~400 C), and higher equipment cost

Page 6: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Advantages of the composite stamping process

u Deep drawing (stamping) of woven-fabric thermoplastic compositesis a mass production technology to produce composite components.

u This stamping process is also a precision shaping process.

u Woven-fabric composites possess a balanced drawability, and canavoid the excessive thinning caused by the transverse intraplyshearing.

Page 7: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Related work

• Under the kinematic consideration, the draping behavior of woven fabrics over 3-D spherical, conical or arbitrary surfaces was simulated by solving the intersection equations numerically.

• This approach provides a preliminary prediction of fiber buckling and final fiber orientation.

• This approach can be used as a design tool fot selecting suitable draped configurations for specific surfaces.

• Kinematic approach

Potter (1979)Robertson et al. (1981)Van West et al. (1990)

Page 8: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

• Diaphragm and blowing forming processes.

• Newtonian viscous flow formulation with the fiber inextensibility constraint

• Inplane prediction of macroscopic stress and strain.

• Isothermal forming processes.

• Unidirectional composite sheets.

• FEM Analysis

O’Bradaigh and Pipes (1991)

O’Bradaigh et al. (1993)

Page 9: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Goals of this FEM Analysis

A 3-D numerical modeling of thermoforming process on woven-fabricthermoplastic composite laminates:

• Characterization of the processing rheology of woven-fabric thermoplastic composite materials by the homogenization method.

• Coupled viscous flow and heat transfer FEM analyses for forming.– Predictions of global and local stress, temperature and fiber

orientation distribution.

• Residual stress FEM analysis for cooling.– Predictions of macroscopic and microscopic residual stress and warpage after cooling.

Page 10: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Governing equations for thermoforming process

Momentum and continuity equations Thermal equation

Viscosity equation

Coupled

• Impossible to solve these equations at each microcell to obtain obtain the global response.

• Homogenization method is used to overcome this difficulty.

Page 11: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Homogenization Method for Composite Materials

X

Y

ΓΩb

t

Γt

Γg

Unit cell

Unit cell

Review• Under the assumption of periodic microstructures which can be represented by unit cells.

• Using the asymptotic expansion of all variables and the average technique to determine the homogenized material properties and constitutive relations of composite materials. • Capable of predicting microscopic fields of deformation mechanics through the localization process.

Page 12: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Digitized woven-fabric unit cell

Woven fabric laminateUnit cell

Page 13: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Thermal conductivity prediction for unidirectional composites vs volume fraction

0

1

2

3

4

5

6

0 10 20 30 40 50 60 70 80

The

rmal

con

duct

ivit

y (W

/m-K

)

Fiber volume fraction (%)

Axial conductivity

Transverse conductivity

Experimental (axial)

Experimental (transverse)

Page 14: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Implementation of Global FEA

• 3-D sheet forming FE analysis coupled with heat transferFE analysis using ‘Viscous shell with thermal analysis’.

vz

vy

vx

ωx

ωy

ωz

x

yz

Membrane element

+

Bending element

Shell elementX

Y

Z

Page 15: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Viscous shell with thermal analysis

• Plane stress asumption-- the incompressibility constraint can beachieved by adjusting the thickness of each shell element.

• Large deformation process divided into a series of small time step.

• Complicated geometry, friction and contact considerations.

v (i ) → Ý ε (i ) ⇔ µ

(i ) ⇔ T(i )

At i-th time step

Coupled thermal analysis

Viscous shell

• Transient heat transfer FEM to solve temperature at each node.

are solved.

• At each step, solve nodal temperature and velocity iteratively until convergence.

Page 16: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Fiber Orientation Model

Purposes:

• Update the fiber intersection angle of each global finite element by the global strain increment at every time step.

• Change material properties according to updated fiber orientation.

Assumptions:

• The fiber orientation of all the microstructures in one global finite element is identical.

• The warp yarn and weft yarn of woven-fabric composites can be represented by two unit fiber vectors.

Page 17: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Schematic of lamina coordinate

X

Y ZX

Y

X

Y

Layer A

Layer B

Fiber

Matrix

Lamina

Warp yarn

Weft yarn1

2

1

2

a

b

Page 18: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Updating Scheme

.

FEM mesh

Weft vector

Warp vector

X

Y

Z

∆ t

∆ε

a n

a n+1

b n+1

b n

φnθn

θn+1

φn+1

x x

y y

Page 19: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Global-local solution scheme

Global finiteelement analysis

Fiber orientationmodel

Obtain homogenizedmaterial properties

Construct unit cells

Check if forming is doneEnd

No

Yes

Local finite elementanalysis (PREMAT)

Localization(POSTAMT)

Begin

Page 20: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Comparison with experiments(cylindrical cup)

55

60

65

70

75

80

85

90

0 5 10 15 20 25

Simulation (Diagonal)Simulation (Median)Experiment (Diagonal)Experiment (Median)

Fib

er in

ters

ecti

on a

ngle

(de

g)

Distance from the origin (mm)

Punch zone Free zone

Diagonal

MedianMedian

Page 21: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

P

Laminate Unit Cell

Effective stress of laminate and unit cell at P.

Effective stress prediction(square box)

Page 22: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Temperature distribution

Page 23: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Stamped body panel

Page 24: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Residual Stress Analysis

• Three levels of residual stresses are generated during cooling– Microscopic stress: Due to CTE mismatch between matrix and fiber

– Macroscopic stress: Due to stacking sequence of laminates

– Global stress: Due to thermal history along laminate thickness

• Warpage due to the release of residual stresses after demoulding.

• In this study, homogenization method based on incremental elasticanalysis with thermal history is adopted.

• Thermoelastic properties are dependent on temperature and crystallinityfrom the thermal history.

Page 25: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Thermal history along thickness

100

150

200

250

300

350

400

0 0.1 0.2 0.3 0.4 0.5 0.6

Tem

pera

ture

( C

)

Location (mm)

10 sec

20 sec

40 sec

60 sec

90 sec

0

0.1

0.2

0.3

0.4

0 0.1 0.2 0.3 0.4 0.5 0.6

Location (mm)

10 sec

20 sec

30 sec

40 sec50 sec

60 sec

65.1 sec

Vol

ume

frac

tion

cry

stal

linit

y

Z

oSym.

Laminate

Page 26: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Curvature prediction compared with experimental data

[0/90] asymmetric laminate Compared with experimental data

Page 27: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Stress prediction compared with experimental data

0

20

40

60

80

100

0 50 100 150 200 250 300

Res

idua

l str

ess

(MP

a)

Temperature ( C)

-40

-30

-20

-10

0.0

10

20

-1 -0.5 0 0.5 1

5 C/s15 C/s25 C/s

Glo

bal r

esid

ual s

tres

s (M

Pa)

Location (mm)

Macroscopic stress prediction for cross-ply laminatecompared with experimental data.

Global stress prediction for unidirectionallaminates with various cooling rates.

Macroscopic stress Global stress

Page 28: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Warped shapes of square box and cylindrical cup

DeformedUndeformed

Square box Cylindrical cup

Page 29: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Warped body panel with its microscopic residual stress

Unit cell

Fiber part

Laminate

DeformedUndeformed

Page 30: Numerical Analysis and Optimal Design of Composite

Ph. D. Defense Computational Mechanics Laboratory

Conclusions

• The thermoforming process of woven-fabric thermoplastic composite laminates was analyzed by the 3-D thermo-viscous flow FEM.

• The constitutive and energy equations of the composites forming were formulated by the Homogenization Method.

• The global-local analysis of the Homogenization Method enables us to examine the macro and microscopic deformation mechanics.

• An optimization algorithm is developed to obtain uniform distribution by adjusting preheating temperature field.