electromagnetic materials state awareness monitoring
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Electromagnetic Materials State Awareness Monitoring . Peter B. Nagy Department of Aerospace Engineering University of Cincinnati Cincinnati, Ohio 45221-0070. Past and P resent Goals. Health Monitoring and Materials Damage Prognosis for - PowerPoint PPT PresentationTRANSCRIPT
Peter B. Nagy
Department of Aerospace Engineering
University of Cincinnati
Cincinnati, Ohio 45221-0070
Electromagnetic Materials State Awareness Monitoring
Past and Present GoalsHealth Monitoring and Materials Damage Prognosis for
Metallic Aerospace Propulsion and Structural Systems
(FY06 DoD MURI BAA, AFOSR)
Integrated with Structure
● enables real-time monitoring
● in-situ interrogation, reduces costly tear-down
● integrated with autonomic logistic methods
Integrated with Prognosis
● sensitive to microstructural change and damage evolution
● quantitative probabilistic life prediction rather than warning
● integrated with physics-based materials damage models
Future Goals: Materials State AwarenessPrognosis of Aircraft and Space Devices, Components, and Systems
(Discovery Challenge Thrust, AFOSR, 2008)
Problem
Determine in real time the current state so that the remaining capabilities of the system or component can be predicted with a high degree of accuracy and known level of confidence
● for any material systems and material processing ● operational environments, component usage history ● failure or material/structure/system degradation mode
monitoringcommunity
prognosticscommunity
Is there a sufficientfinite set of parameters?
Can a specific set of parametersbe determined?
What can we monitor? What can we predict?
Technology Challenges(Discovery Challenge Thrust, AFOSR, 2008)
● Assess early and progressive changes in material state associated with operational usage and exposure.
● Predict the real-time physical, chemical or electronic state at any location for complex systems subject service loads and environmental exposure over time.
● Relate the current and evolving state of microstructure and damage processes to enable probabilistic prognosis modeling of the material/structural/system state.
monitoringcommunity
prognosticscommunity
Is there a sufficientfinite set of parameters?
Can a specific set of parametersbe determined?
What can we monitor? What can we predict?
What Can We Monitor?
● microstructure● phase transformation● plastic strain● elastic strain● hardening● embrittlement● creep damage ● fatigue damage etc.
● crack initiation ● crack growth● impact damage● erosion● corrosion etc.
by electromagnetic means
(measuring electric signals produced by electric, magnetic, or thermal stimulus)
● material state● component state● structure state● system state● service loads● environment etc.
● electric conductivity● magnetic permeability● thermal conductivity● thermoelectric power
● electric conductance● magnetic conductance● thermal conductance
sensitivityselectivity
Example I: Microstructure Evolutionseven different nickel-base powder-metallurgy alloys (Ni, Al, Cr, Fe) after five different heat temper
NAC1 NAC2 NAF1 NAF2 NACF1 NATNACF2
10-5
10-4
10-3
10-2
10-1
10+0
Alloy Designation
Mag
netic
Sus
cept
ibili
ty .
.
1.0
1.5
2.0
2.5
3.0
Alloy Designation
AEC
C [%
IAC
S]
-5
0
5
10
15
Alloy Designation
Ther
moe
lect
ric P
ower
[μV
/°C
]
● material state● electric conductivity● magnetic permeability● thermoelectric power
● microstructure evolution● phase transformation● hardening● embrittlement● elastic strain etc.
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 200 400 600 800 1000 1200Temperature [ºC]
Res
istan
ce [m
Ω] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 50 100 150 200 250Time [hour]
Res
istan
ce [m
Ω] .
0
200
400
600
800
1000
1200
1400
Tem
pera
ture
[ºC
] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 200 400 600 800 1000 1200Temperature [ºC]
Res
istan
ce [m
Ω] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 50 100 150 200 250Time [hour]
Res
istan
ce [m
Ω] .
0
200
400
600
800
1000
1200
1400
Tem
pera
ture
[ºC
] .
Example I: Microstructure EvolutionNAF1-1 nickel-base powder-metallurgy alloy (70.5% Ni, 24.5% Al, 0% Cr, 5% Fe) room temperature
● material state ● electric conductivity
● microstructure evolution● phase transformation● hardening● embrittlement● elastic strain etc.
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 50 100 150 200 250Time [hour]
Res
istan
ce [m
Ω] .
0
200
400
600
800
1000
1200
1400
Tem
pera
ture
[ºC
] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 200 400 600 800 1000 1200Temperature [ºC]
Res
istan
ce [m
Ω] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 50 100 150 200 250Time [hour]
Res
istan
ce [m
Ω] .
0
200
400
600
800
1000
1200
1400
Tem
pera
ture
[ºC
] .
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 200 400 600 800 1000 1200Temperature [ºC]
Res
istan
ce [m
Ω] .
Example I: Microstructure EvolutionNAC2-1 nickel-base powder-metallurgy alloy (65.5% Ni, 24.5% Al, 10% Cr, 0% Fe) room temperature
● material state ● electric conductivity
● microstructure evolution● phase transformation● hardening● embrittlement● elastic strain etc.
Example II: Elastic Strainresidual stress assessment in surface-treated nickel-base superalloys
106102
withoutresidual stress
with oppositeresidual stress
Fatigue Life [cycles]104 108
0
500
1000
1500
endurancelimit
serviceload
naturallife time
increasedlife time
Alte
rnat
ing
Stre
ss [M
Pa]
● material state● component state
● electric conductivity
● elastic strain● plastic strain● microstructure evolution● phase transformation● hardening etc.
Example II: Elastic Strainelectric conductivity versus uniaxial elastic strain in various metals
● electric conductivity● material state ● elastic strain
parallel
-0.004
-0.002
0
0.002
0.004
-0.001 0 0.001 0.002
τua / E
Δσ
/ σ0
normal
Copper
Ti-6Al-4V
parallel
-0.004
-0.002
0
0.002
0.004
-0.002 0 0.002 0.004
τua / E
Δσ
/ σ 0
normalparallel
-0.004
-0.002
0
0.002
0.004
-0.001 0 0.001 0.002
τua / E
Δσ /
σ 0
normal
Al 2024
parallel
-0.004
-0.002
0
0.002
0.004
-0.001 0 0.001 0.002
τua / E
Δσ
/ σ 0
normal
Al 7075
Waspaloy
parallel
-0.004
-0.002
0
0.002
0.004
-0.002 0 0.002 0.004
τua / E
Δσ
/ σ 0
normal
IN718
parallel
-0.004
-0.002
0
0.002
0.004
-0.002 0 0.002 0.004
τua / E
Δσ
/ σ 0
normal
● elastic strain● plastic strain● microstructure
● material state ● electric conductivity
Example II: Elastic Straineddy current spectroscopy in shot-peened IN100
eddy current– solid circles, XRD – open squares
κip = -1.06 (+33% “empirical” correction of AECC data)
-1800
-1600-1400
-1200
-1000
-800-600
-400
-2000
200
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7Depth [mm]
Res
idua
l Stre
ss [M
Pa]
Almen 4AAlmen 8AAlmen 12A
Example III: Plastic Straineffect of uniaxial plastic strain in various nickel-base superalloys at room temperature
static
0.999
1.000
1.001
0 10 20 30 40 50Cold Work [%]
Nor
mal
ized
Mag
netic
Per
mea
bilit
y
IN718 IN100 Waspaloy
500 kHz
0.95
1.00
1.05
0 10 20 30 40 50Cold Work [%]
Nor
mal
ized
Bul
k El
ectri
cal C
ondu
ctiv
ity
.
IN718 IN100 Waspaloy
Nor
mal
ized
Ele
ctro
-Ela
stic
Coe
ffic
ient
0
1
2
0 10 20 30 40 50Cold Work [%]
IN718 Waspaloy
300 kHz
● piezoelectricity● magnetic permeability● electric conductivity
● material state ● plastic strain
Example III: Plastic Strain304 austenitic stainless steel, 15% plastic strain
● magnetic permeability● electric conductivity
● material state ● plastic strain
0.000
0.001
0.002
0.003
0.004
RT50
ºC10
0ºC15
0ºC20
0ºC25
0ºC intact
Mag
netic
Sus
cept
ibili
ty
2.60
2.62
2.64
2.66
2.68
2.70
AEC
C [%
IAC
S]
|
RT50
ºC10
0ºC15
0ºC20
0ºC25
0ºC intact
Example IV: Thermal Exposuremicrostructure evolution
thirty-two as-forged Waspaloy specimenssubsequent heat treatments of 24 hours
1.2
1.3
1.4
1.5
1.6
intact 300 350 400 450 500 550 600 650 700 750 800 850Exposure Temperature [ºC]
Con
duct
ivity
[%IA
CS]
as-forgedinhomogeneous
homogenized
0.1 0.16 0.25 0.4 0.63 1 1.6 2.5 4 6.3 10Frequency [MHz]
0
0.1
0.2
0.3
0.4
0.5
0.6
Con
duct
ivity
(AEC
C) C
hang
e [%
] intact 300 °C 350 °C 400 °C 450 °C 500 °C 550 °C 600 °C 650 °C 700 °C 750 °C 800 °C 850 °C 900 °C
thermal relaxation
Waspaloy, Almen 8A, repeated 24-hour heat treatments at increasing temperatures
● microstructure● elastic strain
● material state ● electric conductivity
Example VI: Thermal Relaxation
● material state ● thermoelectric power
● elastic strain● plastic strain● microstructure evolution● phase transformation● hardening etc.
before relaxationrelaxation at 235 ºCrelaxation at 275 ºCrelaxation at 315 °C2nd relaxation at 315 °C3rd relaxation at 460 °Crecrystallization at 600 °C
0
5
10
15
20
25
0 2 4 6 8 10 12 14 16Almen Intensity (A)
Mag
netic
Sig
natu
re [n
T]
0 4 8 12 16Almen Intensity (A)
0
1
2
3
4
5
6
7
8
Mag
netic
Sig
natu
re [n
T]
series 1 (intact)
series 2 (intact)
series 1 (565 °C)
series 2 (675 °C)
shot-peened C11000 Copper
noncontacting thermoelectric inspection
shot-peened IN100
Example V: Microstructure EvolutionA503 ferritic steel, thermal embrittlement (β = 0.00123 ºC-1)
● material state ● thermoelectric power
● microstructure evolution● phase transformation● hardening● embrittlement● elastic strain etc.
6.4
6.6
6.8
7.0
7.2
7.4
0 1 2 3 4 5 6 7 8 9 10 11 12Time [day]
Abs
olut
e Th
erm
oele
ctric
Pow
er [μ
V/ºC
] .
32
34
36
38
40
42
Tepm
erat
ure
[ºC] .
Absolute TEP Temperature
3 weeks at 450ºC
6.8
6.9
7.0
7.1
7.2
7.3
33 34 35 36 37Temperature [ºC]
Abs
olut
e Th
erm
oele
ctric
Pow
er [μ
V/ºC
] .
Example VI: Corrosion and Erosion½”-thick 304 austenitic stainless steel, thermal embrittlement (β = 0.00117 ºC-1)
● electric resistance● component state
● crack growth● corrosion● erosion etc.
32.0
32.2
32.4
32.6
32.8
33.0
0 5 10 15 20Time [day]
Res
istan
ce [µ
Ω] .
20
21
22
23
24
25
Tem
pera
ture
[ºC
] .32.0
32.2
32.4
32.6
32.8
33.0
0 5 10 15 20Time [day]
Res
istan
ce [µ
Ω] .
erosion events
Example VII: Creep Damage
1
1.1
1.2
1.3
1.4
1.5
2%0.
25% 2%
0.5%
0.25
% 1%0.
5% 1% 2%0.
25% 3% 1%
0.25
% 2% 3%0.
5% 1% 1% 3% 3%
Con
duct
ivity
[%IA
CS]
intact material
directionally solidified GTD-111
coarse grained GTD-111
● microstructure● plastic strain
● material state ● electric anisotropy
0.99
1
1.01
1.02
0 00.2
50.2
50.2
5
0.5 0.5
0.5 0.6 0.9 1 1 2 2 2
Creep Strain [%]
Ani
sotro
py F
acto
r
Conclusions
Electromagnetic methods offer unique opportunities for materials state awareness monitoring.
A variety of sensors can be built based on electric, magnetic, electromagnetic, and thermoelectric principles. These very simple and robust sensors can detect and quantitatively characterize subtle environmentally-assisted and/or service-related changes in the state of metals, such as microstructural evolution, phase transformation, plastic deformation, hardening, residual stress relaxation, increasing dislocation density, etc.
In most cases, the detection sensitivity is sufficiently high for the purposes materials state awareness monitoring and the feasibility of the sensing method is mainly determined by its selectivity, or the lack of it, to a particular type of damage mechanism.
Thank You!