journal article·2021-07Open access

Data workflow to incorporate thermodynamic energies from Calphad databases into grand-potential-based phase-field models

Kaveh Dargahi Noubary, Michael Kellner, Johannes Hötzer, Marco Seiz, Hans J. Seifert, Britta Nestler

Journal of Materials Science· Volume 56· Issue 20

Abstract

Abstract In order to approximate Gibbs energy functions, a semi-automated framework is introduced for binary and ternary material systems, using Calphad databases. To generate Gibbs energy formulations by means of second-order polynomials, the framework includes a precise approach. Furthermore, an optional extensional step enables the modeling of systems in which a direct generation leads to the unsatisfactory results in the representation of the thermodynamics. Furthermore, an optional extensional step enables the modeling of systems, in which a direct generation leads to the unsatisfactory results, when representing the thermodynamics. Within this extension, the commonly generated functions are modified to satisfy the equilibrium conditions in the observed material systems, leading to a better correlation with thermodynamic databases. The generated Gibbs energy formulations are verified by recalculating the equilibrium concentrations of the phases and rebuilding the phase diagrams in the considered concentration and temperature ranges, prior to the simulation studies. For all comparisons, a close match is achieved between the results and the Calphad databases. As practical examples of the method, phase-field simulation studies for the directional solidification of the binary – and the ternary – eutectic systems are performed. Good agreements between the simulation results and the reported theoretical and experimental studies from literature are found, which indicates the applicability of the presented approaches. Graphical Abstract
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Solidification and crystal growth phenomena · Aluminum Alloy Microstructure Properties · Metallurgical Processes and Thermodynamics

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

References (54)

Show source-provided references
1. Lukas HL, Fries SG, Sundman B et al (2007) Computational thermodynamics: the Calphad method. Cambridge University Press, Cambridge10.1017/CBO9780511804137 ↗
2. Kitashima T (2008) Coupling of the phase-field and Calphad methods for predicting multicomponent, solid-state phase transformations. Philos Mag 88(11):1615–163710.1080/14786430802243857 ↗
3. Welland MJ, Piro MHA, Hibbins S, Wang N (2017) A method of integrating calphad data into phase-field models using an approximated minimiser applied to intermetallic layer growth in the Al–Mg system. Calphad 59:76–8310.1016/j.calphad.2017.07.008 ↗
4. Zhang SZ, Zhang RJ, Qu XH, Fang W, Liu MZ (2013) Phase field simulation for non-isothermal solidification of multicomponent alloys coupled with thermodynamics database. Trans Nonferrous Met Soc China 23(8):2361–236710.1016/S1003-6326(13)62742-9 ↗
5. Choudhury A, Kellner M, Nestler B (2015) A method for coupling the phase-field model based on a grand-potential formalism to thermodynamic databases. Curr Opin Solid State Mater Sci 19(5):287–30010.1016/j.cossms.2015.03.003 ↗
6. Fattebert JL, Wickett ME, Turchi PEA (2014) Phase-field modeling of coring during solidification of Au-Ni alloy using quaternions and Calphad input. Acta Mater 62:89–10410.1016/j.actamat.2013.09.036 ↗
7. Wang JC, Osawa M, Yokokawa T, Harada H, Enomoto M (2007) Modeling the microstructural evolution of Ni-base superalloys by phase field method combined with Calphad and CVM. Comput Mater Sci 39(4):871–87910.1016/j.commatsci.2006.10.014 ↗
8. Steinbach I, Böttger B, Eiken J, Warnken N, Fries SG (2007) Calphad and phase-field modeling: a successful liaison. J Phase Equilib Diffus 28(1):101–10610.1007/s11669-006-9009-2 ↗
9. Qin RS, Wallach ER (2003) A phase-field model coupled with a thermodynamic database. Acta Mater 51(20):6199–621010.1016/S1359-6454(03)00443-9 ↗
10. Böttger B, Eiken J, Apel M (2015) Multi-ternary extrapolation scheme for efficient coupling of thermodynamic data to a multi-phase-field model. Comput Mater Sci 108:283–29210.1016/j.commatsci.2015.03.003 ↗
11. Zhu JZ, Liu ZK, Vaithyanathan V, Chen LQ (2002) Linking phase-field model to Calphad: application to precipitate shape evolution in Ni-base alloys. Scr Mater 46(5):401–40610.1016/S1359-6462(02)00013-1 ↗
12. Kobayashi H, Ode M, Kim SG, Kim WT, Suzuki T (2003) Phase-field model for solidification of ternary alloys coupled with thermodynamic database. Scr Mater 48(6):689–69410.1016/S1359-6462(02)00557-2 ↗
13. Davies RH, Dinsdale AT, Gisby JA, Robinson JAJ, Martin AM (2002) MTDATA-thermodynamic and phase equilibrium software from the national physical laboratory. Calphad 26(2):229–27110.1016/S0364-5916(02)00036-6 ↗
14. Enugala SN, Kellner M, Kobold R, Hötzer J, Kolbe M, Nestler B, Herlach D (2019) Theoretical and numerical investigations of rod growth of an Ni–Zr eutectic alloy. J Mater Sci 54(19):12605–12622. https://doi.org/10.1007/s10853-019-03802-310.1007/s10853-019-03802-3 ↗
15. Wang F, Altschuh P, Matz AM, Heimann J, Matz BS, Nestler B, Jost N (2019) Phase-field study on the growth of magnesium silicide occasioned by reactive diffusion on the surface of Si-foams. Acta Mater 170:138–15410.1016/j.actamat.2019.03.008 ↗
16. Wang F, Matz AM, Tschukin O, Heimann J, Mocker BS, Nestler B, Jost N (2017) Numerical and experimental investigations on the growth of the intermetallic $$\text{ Mg}2\text{ Si }$$ phase in Mg infiltrated Si-foams. Adv Eng Mater 19(10):170006310.1002/adem.201700063 ↗
17. Hötzer J, Jainta M, Steinmetz P, Nestler B, Dennstedt A, Genau A, Bauer M, Köstler H, Rüde U (2015) Large scale phase-field simulations of directional ternary eutectic solidification. Acta Mater 93:194–20410.1016/j.actamat.2015.03.051 ↗
18. Steinmetz P, Kellner M, Hötzer J, Dennstedt A, Nestler B (2016) Phase-field study of the pattern formation in Al–Ag–Cu under the influence of the melt concentration. Comput Mater Sci 121:6–1310.1016/j.commatsci.2016.04.025 ↗
19. Kellner M, Sprenger I, Steinmetz P, Hötzer J, Nestler B, Heilmaier M (2017) Phase-field simulation of the microstructure evolution in the eutectic NiAl–34Cr system. Comput Mater Sci 128:379–38710.1016/j.commatsci.2016.11.049 ↗
20. Kellner M, Kunz W, Steinmetz P, Hötzer J, Nestler B (2018) Phase-field study of dynamic velocity variations during directional solidification of eutectic NiAl–34Cr. Comput Mater Sci 145:291–30510.1016/j.commatsci.2017.12.053 ↗
21. Mukherjee R, Choudhury A, Nestler B (2013) Composition pathway in Fe–Cu–Ni alloy during coarsening. Model Simul Mater Sci Eng 21(7):07501210.1088/0965-0393/21/7/075012 ↗
22. Nestler B, Garcke H, Stinner B (2005) Multicomponent alloy solidification: phase-field modeling and simulations. Phys Rev E 71(4):04160910.1103/PhysRevE.71.041609 ↗
23. Choudhury A, Nestler B (2012) Grand-potential formulation for multicomponent phase transformations combined with thin-interface asymptotics of the double-obstacle potential. Phys Rev E 85(2):02160210.1103/PhysRevE.85.021602 ↗
24. Plapp M (2011) Unified derivation of phase-field models for alloy solidification from a grand-potential functional. Phys Rev E 84(3):03160110.1103/PhysRevE.84.031601 ↗
25. ACM (2015) Massively parallel phase-field simulations for ternary eutectic directional solidification
26. Hötzer J, Tschukin O, Said MB, Berghoff M, Jainta M, Barthelemy G, Smorchkov N, Schneider D, Selzer M, Nestler B (2016) Calibration of a multi-phase field model with quantitative angle measurement. J Mater Sci 51(4):1788–1797. https://doi.org/10.1007/s10853-015-9542-710.1007/s10853-015-9542-7 ↗
27. Noubary KD, Kellner M, Steinmetz P, Hötzer J, Nestler B (2017) Phase-field study on the effects of process and material parameters on the tilt angle during directional solidification of ternary eutectics. Comput Mater Sci 138:403–41110.1016/j.commatsci.2017.07.006 ↗
28. Steinmetz P, Yabansu YC, Hötzer J, Jainta M, Nestler B, Kalidindi SR (2016) Analytics for microstructure datasets produced by phase-field simulations. Acta Mater 103:192–20310.1016/j.actamat.2015.09.047 ↗
29. Hötzer J, Steinmetz P, Jainta M, Schulz S, Kellner M, Nestler B, Genau A, Dennstedt A, Bauer M, Köstler H, Rüde U (2016) Phase-field simulations of spiral growth during directional ternary eutectic solidification. Acta Mater 106:249–25910.1016/j.actamat.2015.12.052 ↗
30. Steinmetz P, Hötzer J, Kellner M, Dennstedt A, Nestler B (2016) Large-scale phase-field simulations of ternary eutectic microstructure evolution. Comput Mater Sci 117:205–21410.1016/j.commatsci.2016.02.001 ↗
31. Kellner M, Hötzer J, Schoof E, Nestler B (2020) Phase-field study of eutectic colony formation in NiAl–34Cr. Acta Mater 182:267–27710.1016/j.actamat.2019.10.028 ↗
32. Hötzer J, Seiz M, Kellner M, Rheinheimer W, Nestler B (2019) Phase-field simulation of solid state sintering. Acta Mater 164:184–19510.1016/j.actamat.2018.10.021 ↗
33. Moelans N (2011) A quantitative and thermodynamically consistent phase-field interpolation function for multi-phase systems. Acta Mater 59(3):1077–108610.1016/j.actamat.2010.10.038 ↗
34. Karma A (2001) Phase-field formulation for quantitative modeling of alloy solidification. Phys Rev Lett 87(11):11570110.1103/PhysRevLett.87.115701 ↗
35. Echebarria B, Folch R, Karma A, Plapp M (2004) Quantitative phase-field model of alloy solidification. Phys Rev E 70(6):06160410.1103/PhysRevE.70.061604 ↗
36. Bale CW, Bélisle E, Chartrand P, Decterov SA, Eriksson G, Hack K, Jung I-H, Kang Y-B, Melançon J, Pelton AD, Robelin C, Petersen S (2009) FactSage thermochemical software and databases—recent developments. Calphad 33(2):295–31110.1016/j.calphad.2008.09.009 ↗
37. Sundman B, Kattner UR, Palumbo M, Fries SG (2015) OpenCalphad—a free thermodynamic software. Integr Mater Manuf Innov 4(1):110.1186/s40192-014-0029-1 ↗
38. Cao W, Chen S-L, Zhang F, Wu K, Yang Y, Chang YA, Schmid-Fetzer R, Oates WA (2009) Pandat software with panengine, panoptimizer and panprecipitation for multi-component phase diagram calculation and materials property simulation. Calphad 33(2):328–34210.1016/j.calphad.2008.08.004 ↗
39. Otis R, Liu Z-K (2017) pycalphad: Calphad-based computational thermodynamics in python. J Open Res Softw 5(1):110.5334/jors.140 ↗
40. Andersson J-O, Helander T, Höglund L, Shi P, Sundman B (2002) Thermo-Calc & DICTRA, computational tools for materials science. Calphad 26(2):273–31210.1016/S0364-5916(02)00037-8 ↗
41. Hillert M (2001) The compound energy formalism. J Alloys Compd 320(2):161–17610.1016/S0925-8388(00)01481-X ↗
42. Hötzer J, Reiter A, Hierl H, Steinmetz P, Selzer M, Nestler B (2018) The parallel multi-physics phase-field framework Pace3D. J Comput Sci 26:1–1210.1016/j.jocs.2018.02.011 ↗
43. Yaqoob K, Crivello J-C, Joubert J-M (2018) Thermodynamic modeling of the Mo–Ni system. Calphad 62:215–22210.1016/j.calphad.2018.07.002 ↗
44. Moelans N, Blanpain B, Wollants P (2008) An introduction to phase-field modeling of microstructure evolution. Calphad 32(2):268–29410.1016/j.calphad.2007.11.003 ↗
45. Peng J, Franke P, Seifert HJ (2016) Experimental investigation and Calphad assessment of the eutectic trough in the system NiAl–Cr–Mo. Phase Equilib Diffus 37(5):592–60010.1007/s11669-016-0490-y ↗
46. Zhang J, Jun SHEN, Lei ZWANG, Fu H (2013) Directional solidification and characterization of NiAl–9Mo eutectic alloy. Trans Nonferrous Met Soc China 23(12):3499–350710.1016/S1003-6326(13)62894-0 ↗
47. Vondrous A, Selzer M, Hötzer J, Nestler B (2014) Parallel computing for phase-field models. Int J High Perform Comput Appl 28(1):61–7210.1177/1094342013490972 ↗
48. Hunt JD, Jackson KA (1966) Lamellar and rod eutectic growth. Trans Metall Soc AIME 236:1129–1142
49. Akamatsu S, Bottin-Rousseau S, Faivre G (2011) Determination of the Jackson-Hunt constants of the In-$$\text{ In}2\text{ Bi }$$ eutectic alloy based on in situ observation of its solidification dynamics. Acta Mater 59(20):7586–759110.1016/j.actamat.2011.08.036 ↗
50. Bei H, George EP (2005) Microstructures and mechanical properties of a directionally solidified NiAl–Mo eutectic alloy. Acta Mater 53(1):69–7710.1016/j.actamat.2004.09.003 ↗
51. Redlich O, Kister AT (1948) Algebraic representation of thermodynamic properties and the classification of solutions. Ind Eng Chem 40(2):345–34810.1021/ie50458a036 ↗
52. Fog Agner Instruction tables: lists of instruction latencies, throughputs and micro-operation breakdowns for Intel, AMD, and VIA CPUs. https://www.agner.org/optimize/instruction_tables.pdf. Accessed 30.08.2019
53. Yao WJ, Han XJ, Wei B (2003) Microstructural evolution during containerless rapid solidification of Ni–Mo eutectic alloys. J Alloys Compd 348(1–2):88–99
54. Hu L, Hu W, Gottstein G, Bogner S, Hollad S, Bührig-Polaczek A (2012) Investigation into microstructure and mechanical properties of NiAl–Mo composites produced by directional solidification. Mater Sci Eng A 539:211–22210.1016/j.msea.2012.01.083 ↗