journal article·2021-02

Quantitative phase-field modeling of solute trapping in rapid solidification

Sepideh Kavousi, Mohsen Asle Zaeem

Acta Materialia· Volume 205
Publisher page

Abstract

Abstract A quantitative phase-field model is developed for prediction of solute trapping for solidification velocities relevant to the additive manufacturing. An anti-trapping flux is proposed to generate a chemical potential jump independent of the interface width and consistent with the sharp interface continuous growth (CG) model. The thin-interface analysis up to the second order is implemented to quantitatively parametrize the phase-field model based on the material properties for both full and zero solute drag limits of the CG model. As a benchmark example, the experimental data on Si-9at.%As (Kittl et al., Acta Materialia, 2000) is used to compare the partition coefficient and kinetic undercooling predicted by this phase-field model with those of the CG model. Our results, especially with the full-drag limit, present a very good agreement with the experimental data and theoretical models for solidification velocities up to the diffusive velocity. Unlike other phase-field models, this proposed model predicts accurate partition coefficient and kinetic undercooling for a wide range of solidification velocities, and the results are less sensitive to the diffusive interface width, enabling quantitative simulations in larger length scales. The model performance in prediction of the cellular growth is highlighted by showing that the primary dendritic arm spacing is also weakly dependent on the diffusive interface width.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Solidification and crystal growth phenomena · Aluminum Alloy Microstructure Properties · Intermetallics and Advanced Alloy Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (57)

Show source-provided references
1. Theory of microstructural development during rapid solidification10.1016/0001-6160(86)90056-8 ↗
2. Continuous series of metastable solid solutions in silver-copper alloys10.1063/1.1735777 ↗
3. Metastable Electron Compound in Ag-Ge Alloys10.1063/1.1735778 ↗
4. Olsen · The effect of the rate of cooling rate on the homogeneity of solid solution · 1950 · 188 · 1223
5. Falkenhagen · Die auswirkung extrem hoher abkuhlungsgeschwindigkeit auf die erstarrung und das gefuge binarer legierungen. Zeitschrift fur Metallkunde · 1952 · 43 · 69
6. Solute trapping: comparison of theory with experiment10.1103/PhysRevLett.56.2489 ↗
7. Local-nonequilibrium model for rapid solidification of undercooled melts10.1016/0375-9601(95)00084-G ↗
8. Rapid solidification under local nonequilibrium conditions10.1103/PhysRevE.55.6845 ↗
9. Local nonequilibrium effect on undercooling in rapid solidification of alloys10.1103/PhysRevE.55.343 ↗
10. Phase-field model for isothermal phase transitions in binary alloys10.1103/PhysRevA.45.7424 ↗
11. Kim · Phase-field model for binary alloys. Physical review e · 1999 · 60 · 7186
12. The multiphase-field model with an integrated concept for modelling solute diffusion10.1016/S0167-2789(97)00226-1 ↗
13. Quantitative phase-field model of alloy solidification10.1103/PhysRevE.70.061604 ↗
14. Second-Order Phase Field Asymptotics for Unequal Conductivities10.1137/S0036139997330027 ↗
15. Phase-field formulation for quantitative modeling of alloy solidification10.1103/PhysRevLett.87.115701 ↗
16. Phase-field formulation for quantitative modeling of alloy solidification10.1103/PhysRevLett.87.115701 ↗
17. Diffuse-interface modeling of solute trapping in rapid solidification: Predictions of the hyperbolic phase-field model and parabolic model with finite interface dissipation10.1016/j.actamat.2013.03.042 ↗
18. Phase-field modeling of solute trapping: Comparative analysis of parabolic and hyperbolic models10.3139/146.110297 ↗
19. Solute trapping in rapid solidification of a binary dilute system: A phase-field study10.1103/PhysRevE.84.041143 ↗
20. Combined molecular dynamics and phase field simulation investigations of crystal-melt interfacial properties and dendritic solidification of highly undercooled titanium10.1016/j.commatsci.2019.03.024 ↗
21. Modified embedded-atom method potential for high-temperature crystal-melt properties of Ti–Ni alloys and its application to phase field simulation of solidification10.1088/1361-651X/ab580c ↗
22. Atomistic simulations of nonequilibrium crystal-growth kinetics from alloy melts10.1103/PhysRevLett.107.025505 ↗
23. Interface kinetics of rapid solidification of binary alloys by atomistic simulations: Application to Ti-Ni alloys10.1016/j.commatsci.2020.109854 ↗
24. Molecular dynamics study of the thermodynamic and kinetic properties of the solid-liquid interface in FeMn10.1016/j.commatsci.2020.109773 ↗
25. Multiple time scale numerical methods for the inverted pendulum problem
26. A Comparison Of Numerical Methods For Computing The Smooth Solution Of A System With Multiple Time Scales
27. Problems with different time scales for partial differential equations10.1002/cpa.3160330310 ↗
28. Summation-by-parts in time: the second derivative10.1137/15M103861X ↗
29. Quantitative phase field modeling of solute trapping and continuous growth kinetics in quasi-rapid solidification10.1016/j.actamat.2019.02.009 ↗
30. Phase field modeling of rapid resolidification of Al-Cu thin films10.1016/j.jcrysgro.2019.125418 ↗
31. The significance of spatial length scales and solute segregation in strengthening rapid solidification microstructures of 316L stainless steel10.1016/j.actamat.2019.10.044 ↗
32. Complete experimental test of kinetic models for rapid alloy solidification10.1016/S1359-6454(00)00276-7 ↗
33. Assessment of mechanical properties and fatigue performance of a selective laser melted nickel-base superalloy Inconel 71810.1016/j.msea.2019.05.007 ↗
34. Detecting void-induced scatter of fatigue life of selective laser melting-fabricated Inconel 718 using miniature specimens
35. Effect of scanning strategy on mechanical properties of selective laser melted Inconel 71810.1016/j.msea.2019.03.007 ↗
36. Modeling and Simulation of Microstructure Evolution for Additive Manufacturing of Metals: A Critical Review10.1007/s11661-020-05946-3 ↗
37. Continuous growth model for interface motion during alloy solidification10.1016/0001-6160(88)90333-1 ↗
38. On the transition from short-range diffusion-limited to collision-limited growth in alloy solidification10.1016/0956-7151(94)90507-X ↗
39. Balay · 2017
40. Dendritic Growth
41. Integration of stiff equations
42. Solute trapping of group III, IV, and V elements in silicon by an aperiodic stepwise growth mechanism10.1063/1.357728 ↗
43. Phase-field modelling of solute trapping during rapid solidification of a Si–As alloy10.1016/j.actamat.2006.05.045 ↗
44. Solute trapping and solute drag in a phase-field model of rapid solidification10.1103/PhysRevE.58.3436 ↗
45. Phase-field modeling of solute trapping: comparative analysis of parabolic and hyperbolic models10.3139/146.110297 ↗
46. Kurz, W. and D.J. Fisher, Fundamentals of solidification.
47. Rapid solidification as non-ergodic phenomenon10.1016/j.physrep.2019.06.002 ↗
48. Porter · 2009
49. Prediction of primary dendritic arm spacing during laser rapid directional solidification of single-crystal nickel-base superalloys10.1016/j.jallcom.2016.06.289 ↗
50. Cellular and dendritic growth. II10.1016/0022-0248(74)90127-4 ↗
51. Dendrite growth at the limit of stability: tip radius and spacing10.1016/0001-6160(81)90082-1 ↗
52. Numerical modelling of cellular and dendritic array growth: spacing and structure predictions10.1016/0921-5093(93)90191-G ↗
53. A numerical analysis of dendritic and cellular array growth: the spacing adjustment mechanisms10.1016/0022-0248(92)90006-5 ↗
54. Phase Field Simulation of Dendritic Solidification of Ti-6Al-4V During Additive Manufacturing Process10.1007/s11837-018-3057-z ↗
55. Sahoo · 2016 · 9 · 14
56. Rapid Solidification: Selective Laser Melting of AlSi10Mg10.1007/s11837-015-1763-3 ↗
57. Robbin, J.W. and D.A. Salamon, Introduction to differential geometry.