journal article·2015-09

Modelling and understanding materials microstructure evolution driven by interface energy

Xin Wang

Publisher page

Abstract

Abstract The importance of microstructure is clear from the large body of research made on quantitative analysis and modelling of microstructures. Many real materials have complicated topological and morphological features in their microstructure that are critical to their properties and functionality. Here it is shown that complicated microstructure changes of real materials driven by interface energy can be simulated by cellular automaton approach as the consequence of matter movement guided by interface energy differences. This has become possible by introducing a concept of “structural imbalance” which is used for the quantitative determination of the driving force for microstructure changes. The new modelling approach is used to simulate the grain growth and complicated morphological evolution of 2 dimensional particle coating. This approach aids in understanding microstructure evolution at a fundamental level. It can also be a more efficient modelling method capable of dealing with the complex topology and morphology of real microstructures.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Theoretical and Computational Physics · Physics of Superconductivity and Magnetism · Electronic and Structural Properties of Oxides

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

References (30)

Show source-provided references
1. Chen · Phys. Rev. B · 1994 · 50 · 1575210.1103/PhysRevB.50.15752 ↗
2. Wilson · Nat. Mater. · 2006 · 5 · 54110.1038/nmat1668 ↗
3. Shearing · Chem. Eng. Sci. · 2009 · 64 · 392810.1016/j.ces.2009.05.038 ↗
4. Holzer · J. Microsc. · 2004 · 216 · 8410.1111/j.0022-2720.2004.01397.x ↗
5. Atkinson · Nat. Mater. · 2004 · 3 · 1710.1038/nmat1040 ↗
6. de la Rubia · MRS Bull. · 2001 · 26 · 16910.1557/mrs2001.38 ↗
7. Droz · 1998
8. Wolfram · 2002
9. Wolfram · 1994
10. Hesselbarth · Acta Metall. Mater. · 1991 · 39 · 213510.1016/0956-7151(91)90183-2 ↗
11. Raabe · Comput. Mater. Sci. · 2005 · 34 · 29910.1016/j.commatsci.2004.12.067 ↗
12. Rollett · Acta Metall. · 1989 · 37 · 62710.1016/0001-6160(89)90247-2 ↗
13. Marx · Acta Mater. · 1999 · 47 · 121910.1016/S1359-6454(98)00421-2 ↗
14. Liu · Scripta Mater. · 1996 · 34 · 167910.1016/1359-6462(96)00055-3 ↗
15. He · Mater. Sci. Eng. A · 2006 · 429 · 23610.1016/j.msea.2006.05.070 ↗
16. Ding · J. Cryst. Growth · 2006 · 293 · 48910.1016/j.jcrysgro.2006.05.060 ↗
17. Pimienta · Comput. Mater. Sci. · 1992 · 1 · 6310.1016/0927-0256(92)90008-W ↗
18. Bentz · 1992
19. Raabe · Philos. Mag. A · 1999 · 79 · 233910.1080/01418619908214288 ↗
20. Raabe · Acta Mater. · 2004 · 52 · 265310.1016/j.actamat.2004.02.013 ↗
21. Raabe · Modell. Simul. Mater. Sci. Eng. · 2000 · 8 · 44510.1088/0965-0393/8/4/304 ↗
22. Vicsek · Phys. Rev. Lett. · 1984 · 53 · 228110.1103/PhysRevLett.53.2281 ↗
23. Hunter · 2001
24. Wang · ECS Trans. · 2013 · 57 · 246510.1149/05701.2465ecst ↗
25. Wang · J. Electrochem. Soc. · 2014 · 161 · F60510.1149/2.037405jes ↗
26. Tang · Phys. Rev. B · 2006 · 73
27. Kingery · 1976
28. Krill · Acta Mater. · 2002 · 50 · 3057
29. Atkinson · Acta Metall. · 1988 · 36 · 46910.1016/0001-6160(88)90079-X ↗
30. Ashby · Acta Metall. · 1974 · 22 · 27510.1016/0001-6160(74)90167-9 ↗