Development of A Practical Phase Field Tool
Transcript of Development of A Practical Phase Field Tool
Development of A Practical Development of A Practical Phase Field ToolPhase Field Tool
Kaisheng Wu, Shuanglin Chen, Fan Zhang and Y.A.Chang
CompuTherm LLC, Madison, WI
Ximiao Pan and Yunzhi Wang
The Ohio State University, Columbus, OH
NIST Diffusion Workshop, May 12, 2008
PanROMEPanROME
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Interdiffusion MicrostructuresInterdiffusion MicrostructuresNi-Al-Cr
F-220.5 μm
Disk alloy (courtesy of M.F. Henry)
2μm
IN718 (S. Azadian et al.)
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Models/SoftwareModels/Software
1D Diffusion
DICTRA
Mean-Field Precipitation
PrecipiCalc
PanPrecipitation (PanSTAR)
TC-PRISMA
Phase Field – Most Feasible for Morphology Considerations
MICRESS
PanROME
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Multi-component, multi-phase, multi-variant and polycrystallineVery complex microstructural features:
high volume fraction of precipitatesnon-spherical shape and strong spatial correlationelastic interactions among precipitates
Interdiffusion induces both microstructure and phase instabilities.Effect of concentration gradient on nucleation, growth and coarsening.Roles of defects and coherency/thermal stress on interdiffusion and phase transformation.
Multi-component, multi-phase, multi-variant and polycrystallineVery complex microstructural features:
high volume fraction of precipitatesnon-spherical shape and strong spatial correlationelastic interactions among precipitates
Interdiffusion induces both microstructure and phase instabilities.Effect of concentration gradient on nucleation, growth and coarsening.Roles of defects and coherency/thermal stress on interdiffusion and phase transformation.Robustness and computational efficiency of models.
Modeling ChallengesModeling Challenges
Robustness and computational efficiency of models.
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Phase Field ApproachPhase Field Approach
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Phase Field ModelsPhase Field Models
Wheeler-Boettinger-McFadden(WBM)Phys. Review A, 45(10), 7424(1992)
MICRESSSteinbach et al., Physica D, 94, 135(1996)
Landau-Type PolynomialL.Q.Chen and Y. Wang, JOM, 48, 13-18(1996)
Kim-Kim-Suzuki(KKS)Phys. Review E, 60(6), 7186(1999)
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KimKim--KimKim--Suzuki(KKS) ModelSuzuki(KKS) Model
Local Free Energy Density
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KimKim--KimKim--Suzuki(KKS) ModelSuzuki(KKS) Model
ConcentrationFr
ee E
nerg
y D
ensi
ty
Mass Conservation
Equal Diffusion Potential
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Advantage of KKS ModelAdvantage of KKS Model
Concentration
Free
Ene
rgy
Den
sity
Adjustable Interfacial Energy
Con
cent
ratio
n
x
Practical Length Scale
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Software ArchitectureSoftware Architecture
Kinetic Kinetic DatabaseDatabase
PanEnginePanEngine
Thermodynamic Thermodynamic DatabaseDatabase
PanRomePanRome
Nucleation Driving ForceNucleation Driving Force
Diffusion PotentialsDiffusion Potentials
MobilitiesMobilitiesProcessing Processing ConditionsConditions
Nucleation Nucleation Model*Model*
KKS KKS ModelModel
*C.Shen, Ph.D. Thesis, The Ohio State University, 2004;
Y.H. Wen et al., Acta Mater., 51, 1123(2003)
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Ni DatabasesNi Databases
Ni Ni
Al Al
HfHf
CrCr
C C B B
FeFe
CoCo
Ir Ir MoMoN N Nb Nb
Pt Pt Re Re
Ru Ru
Si Si
Ta Ta
Ti Ti
Zr Zr W W W
Ni
AlC
Co
Cr
Fe
HfMoNb
Re
Ta
Ti
Pt
Thermodynamic Kinetic*
* Partly from C. E. Campbell, W. J. Boettinger, U. R. Kattner, Acta Mater. 50, 2002, 775-792.
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CoarseningCoarsening
Ni-Al-Cr-Pt
γ+γ′
1200οC 500hrs
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NucleationNucleation
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β+γβ+γ//γγ Diffusion CoupleDiffusion CoupleNi-Al-Cr
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β+γβ+γ//γγ Diffusion CoupleDiffusion Couple
Landau-Type Polynomial
Kim-Kim-Suzuki Model200μm
Exp. Observation* 100 hrs at 1200oC
*J.A.Nesbitt and R.W.Heckel, Metall. Trans. A, 18A(11)2087(1987)
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SoftwareSoftware
Coded in C++ & provided as a Windows dllScript file for user inputsImageMagick for microstructure imagesPandat GUI under development
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Computational EfficiencyComputational Efficiency
A special algorithm/data structure is designed to improve the efficiencyBenchmark:
Computer : Intel Core2 Duo CPU 3.0GHz, 3G MemorySystem: Ni-Al-Cr, β+γ/γ diffusion couple,
1024×256 grid points, 300hrs annealing time at 1200oC
Simulation Time : 24 hrs
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SummarySummary
A phase field program for interdiffusion microstructuresIntroduction of Kim-Kim-Suzuki model to
relax the restriction of the length scaleExamples demonstrating feasibilitiesComputational efficiency
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Future WorkFuture Work
Non-isothermal conditions Multiphase systemsMore than 4 componentsDifferent alloy systems
More Validations
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Future WorkFuture Work
Interfacial energy anisotropyElastic strain energy effect
More Functionalities
2 μm1 μm
2020
Future WorkFuture Work
CVD ProcessingOxidation ( Integrated with COSP)
Wei
ght
Chan
ge, m
g/cm
2
Number of 1-hr Cycles
-5
-10
-15
-20
0
5
10
15
20
0 200 400 600 800 1000 1200 1400 1600 1800
Number of 1-hr Cycles
Wei
ght C
hang
e, m
g/cm
2
Experimentally Determined Weight ChangeWeight Change Simulated by ModelExperimentally Determined Al LossAl Loss Calculated by Model
0 200 400 600 800 1000 1200 1400 1600 1800-20
-10
0
10
20
More Boundary Conditions
Oxidation behavior of a γ+β
alloy