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NASA Microgravity Research Program
Phase-Field Models of Solidification Jeff McFadden NIST Outline Background Phase-Field Models Numerical Computations Dan Anderson, GWU Bill Boettinger, NIST Rich Braun, U Delaware Sam Coriell, NIST John Cahn, NIST Bruce Murray, SUNY Binghampton Bob Sekerka, CMU Jim Warren, NIST Adam Wheeler, U Southampton, UK NASA Microgravity Research Program
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Modeling at various length scales
10 mm 2 nm Atomistic scale Å Dendrite scale m Grain scale mm How to connect these various scales ? Component scale cm - m M. Rappaz, EPFL
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Dendritic Microstructure
Polished and etched microstructure after freezing Liquid decanted during freezing
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Freezing a Pure Liquid Hele Shaw Saffman & Taylor Dendrite Glicksman
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Stefan Problem Interface is a surface; No thickness; Solid
Liquid Interface is a surface; No thickness; Physical properties: Surface energy, kinetics Conservation of energy
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Surface Energy Critical Nucleus and Coarsening Grain Boundary Grooves
Wavelength of instabilities
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Critical Nucleus and Coarsening
Minimize the total surface energy for a given volume of inclusions P. Voorhees & R. Schaefer (1987)
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Grain Boundary Grooves
S.C. Hardy (1977)
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Wavelength of Instabilities
Ice cylinder growing into supercooled water, Instability wavelength depends on surface energy: S. Hardy and S. Coriell (1968)
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Morphological Instability
“Constitutional supercooling” “Point effect” Mullins & Sekerka (1963, 1964)
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Phase-Field Model The phase-field model was developed around 1978 by J. Langer at CMU as a computational technique to solve Stefan problems for a pure material. The model combines ideas from: The enthalpy method (Conserves energy) The Cahn-Allen equation (Includes capillarity) Van der Waals (1893) Korteweg (1901) Landau-Ginzburg (1950) Cahn-Hilliard (1958) Halperin, Hohenberg & Ma (1977) Other diffuse interface theories:
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Cahn-Allen Equation J. Cahn and S. Allen (1977)
M. Marcinkowski (1963) Description of anti-phase boundaries (APBs) Motion by mean curvature: Surface energy: “Non-conserved” order parameter:
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Ordering in a BCC Binary Alloy
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Parameter Identification
1-D solution: Interface width: Surface energy: Curvature-dependence (expand Laplacian):
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Phase-Field Models Main idea: Solve a single set of PDEs over the entire domain Two main issues for a phase-field model: Bulk Thermodynamics Surface Thermodynamics L g g’ b Phase-field model incorporates both bulk thermodynamics of multiphase systems and surface thermodynamics (e.g., Gibbs surface excess quantities).
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Phase-Field Model Introduce the phase-field variable:
Introduce free-energy functional: J.S. Langer (1978) Dynamics
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Free Energy Function
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Phase-Field Equations
Governing equations: First & second laws Require positive entropy production Thermodynamic derivation Energy functionals: Penrose & Fife (1990), Fried & Gurtin (1993), Wang et al. (1993)
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Planar Interface Particular phase-field equation where
Exact isothermal travelling wave solution: where when
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Sharp Interface Asymptotics
Consider limit in which Different distinguished limits possible. Caginalp (1988), Karma (1998), McFadden et al (2000) Can retrieve free boundary problem with Or variation of Hele-Shaw problem...
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Numerics Advantages - no need to track interface
- can compute complex interface shapes Disadvantage - have to resolve thin interfacial layers State-of-the-art algorithms (C. Elliot, Provatas et al.) use adaptive finite element methods Simulation of dendritic growth into an undercooled liquid...
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Provatas, Goldenfeld & Dantzig (1999) Dendrite Simulation
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Anisotropic Equilibrium Shapes
W. Miller & G. Chadwick (1969) Cahn & Hoffmann (1972)
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Sharp Interface Formulation
Sharp interface limit: McFadden & Wheeler (1996) is a natural extension of the Cahn-Hoffman of sharp interface theory Cahn & Hoffman (1972, 1974) is normal to the plot: Isothermal equilibrium shape given by Corners form when plot is concave; Phase field
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Diffuse Interface Formulation
Recall: Suggests: where: Phase-field equation: where the so-called -vector is defined by:
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Corners and Edges Taylor & Cahn (1998), Wheeler & McFadden (1997)
Eggleston, McFadden, & Voorhees (2001)
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Cahn-Hilliard Equation
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Phase Field Equations - Alloy
Coupled Cahn-Hilliard & Cahn-Allen Equations where { Wheeler, Boettinger, & McFadden (1992)
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Alloy Free Energy Function
One possibility Ideal Entropy L and S are liquid and solid regular solution parameters
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Inclusion of Surface Properties
Examples: Surface Adsorption Wetting in Multiphase Systems Solute Trapping (More than a computational device)
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McFadden and Wheeler (2001)
Surface Adsorption McFadden and Wheeler (2001)
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N. Ahmad, A. Wheeler, W. Boettinger, G. McFadden (1998)
Solute Trapping At high velocities, solute segregation becomes small (“solute trapping”) Results agree well with other trapping models (Aziz 1988) N. Ahmad, A. Wheeler, W. Boettinger, G. McFadden (1998)
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Wetting in Multiphase Systems
M. Marcinkowski (1963) Kikuchi & Cahn CVM for fcc APB (CuAu) R. Braun, J. Cahn, G. McFadden, & A. Wheeler (1998) Phase-field model with 3 order parameters
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Early Phase-Field Calculations
G. Caginalp & E. Socolovsky (1991, 1994) R. Kobayashi (1993, 1994) A. Wheeler, B. Murray, R. Schaefer (1993) 2nd order accurate finite differences on 2-D uniform mesh Explicit time-stepping for phase-field equation Implicit (ADI) for energy equation Mesh convergence an issue Vector machines (Cray) Roldan Pozo (benchmarks on PC cluster at NIST)
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Adaptive Meshing R. Braun, B. Murray, & J. Soto (1997)
VLUGR2, vectorized, adaptive finite difference solver R. Almgren & A. Almgren (1996) 2-D, second-order accurate, semi-implicit N. Provatis, N. Goldenfeld, & J. Dantzig (1999) 2D, Galerkin FE, dynamically adaptive, quadtree M. Plapp & A. Karma (2000) Hybrid FD Mesh/diffusion Monte Carlo method
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A. Karma & W.-J. Rappel (1997) Uniform 300x300x300 mesh
Grid-corrected anisotropy
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W. George & J. Warren (2001) 3-D FD 500x500x500 DPARLIB, MPI
32 processors, 2-D slices of data
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J. Jeong, N. Goldenfeld, & J. Dantzig (2001)
Charm++ FEM framework, hexahedral elts, octree, 32 processors, METIS
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Conclusions Phase-field models provide a regularized version of Stefan problems for computational purposes Phase-field models are able to incorporate both bulk and surface thermodynamics Can be generalised to: include material deformation (fluid flow & elasticity) models of complex alloys Computations: provides a vehicle for computing complex realistic microstructure
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