journal article·2021-05Open access

The role of grain-environment heterogeneity in normal grain growth: A stochastic approach

Thomas Breithaupt, Lars N. Hansen, Srikanth Toppaladoddi, Richard F. Katz

Acta Materialia· Volume 209

Abstract

The size distribution of grains is a fundamental characteristic of polycrystalline solids. In the absence of deformation, the grain-size distribution is controlled by normal grain growth. The canonical model of normal grain growth, developed by Hillert, predicts a grain-size distribution that bears a systematic discrepancy with observed distributions. To address this, we propose a change to the Hillert model that accounts for the influence of heterogeneity in the local environment of grains. In our model, each grain evolves in response to its own local environment of neighbouring grains, rather than to the global population of grains. The local environment of each grain evolves according to an Ornstein-Uhlenbeck stochastic process. Our results are consistent with accepted grain-growth kinetics. Crucially, our model indicates that the size of relatively large grains evolves as a random walk due to the inherent variability in their local environments. This leads to a broader grain-size distribution than the Hillert model and indicates that heterogeneity has a critical influence on the evolution of the microstructure.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Theoretical and Computational Physics · nanoparticles nucleation surface interactions · Microstructure and mechanical properties

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

References (54)

Show source-provided references
1. A thermodynamically self-consistent damage equation for grain size evolution during dynamic recrystallization10.1111/j.1365-246X.2010.04875.x ↗
2. Critical assessment 30: grain growth–unresolved issues10.1080/02670836.2018.1434863 ↗
3. On the theory of normal and abnormal grain growth10.1016/0001-6160(65)90200-2 ↗
4. Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data10.1016/j.scriptamat.2006.01.007 ↗
5. Self-similar evolution of network structures10.1016/j.actamat.2005.10.027 ↗
6. A thermodynamic approach to grain growth and coarsening10.1080/0141861031000068966 ↗
7. Modelling grain growth in the framework of rational extended thermodynamics10.1088/0965-0393/24/4/045001 ↗
8. Topological theory of abnormal grain growth10.1016/j.actamat.2006.07.010 ↗
9. A new examination of classical coarsening theory10.1016/0001-6160(89)90267-8 ↗
10. On a stochastic theory of grain growth—II10.1016/0956-7151(90)90166-E ↗
11. The influence of spatial grain size correlation and topology on normal grain growth in two dimensions10.1016/1359-6454(95)00262-6 ↗
12. Three-dimensional normal grain growth: Monte Carlo Potts model simulation and analytical mean field theory10.1016/j.scriptamat.2005.12.042 ↗
13. Self-similar grain size distribution in three dimensions: a stochastic treatment10.1016/j.actamat.2009.10.020 ↗
14. Beyond modified mean field: a case for a stochastic grain growth model10.1080/14786435.2019.1707894 ↗
15. On the theory of the Brownian motion10.1103/PhysRev.36.823 ↗
16. On the theory of the Brownian motion II10.1103/RevModPhys.17.323 ↗
17. Comparison between a computer simulated and an analytical grain size distribution10.1016/S1359-6462(98)00495-3 ↗
18. Comparison of statistical analytical theories of grain growth10.1016/S1359-6462(01)00923-X ↗
19. Generalized Lifshitz–Slyozov theory of grain and particle coarsening for arbitrary cut-off parameter10.1016/S1359-6462(98)00373-X ↗
20. Uniqueness and self similarity of size distributions in grain growth and coarsening10.1016/S1359-6454(01)00080-5 ↗
21. Grain size distribution in two dimensions in the long time limit10.1016/j.actamat.2008.07.008 ↗
22. On a stochastic theory of grain growth—III10.1016/0956-7151(91)90223-N ↗
23. Effective growth law from three-dimensional grain growth simulations and new analytical grain size distribution10.1016/j.scriptamat.2006.05.009 ↗
24. Grain growth of uniform boundaries with scaling10.1016/S1359-6454(98)00259-6 ↗
25. Irreversible thermodynamics, parabolic law and self-similar state in grain growth10.1016/j.actamat.2003.09.010 ↗
26. PETSc Users Manual
27. Efficient management of parallelism in object oriented numerical software libraries
28. Algorithm 806: SPRNG: a scalable library for pseudorandom number generation10.1145/358407.358427 ↗
29. LXIII. On the division of space with minimum partitional area10.1080/14786448708628135 ↗
30. Three-dimensional microstructural evolution in ideal grain growth-general statistics10.1016/S1359-6454(99)00405-X ↗
31. Three-dimensional grain topology-size relationships in a real metallic polycrystal compared with theoretical models10.1016/S0921-5093(01)01497-6 ↗
32. Characterization of three-dimensional grain structure in polycrystalline iron by serial sectioning10.1007/s11661-004-0141-5 ↗
33. A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 1: statistical characterization10.1016/j.actamat.2007.11.041 ↗
34. Three-dimensional analysis of grain topology and interface curvature in a β-titanium alloy10.1016/j.actamat.2010.06.030 ↗
35. Three-dimensional visualization and quantitative characterization of grains in polycrystalline iron10.1016/j.matchar.2014.02.009 ↗
36. Three-dimensional grain growth in pure iron. Part I. Statistics on the grain level10.1016/j.actamat.2018.06.021 ↗
37. Computer modelling of three-dimensional cellular pattern growth10.1080/13642819508239038 ↗
38. Three-dimensional grain growth: a vertex dynamics simulation10.1080/13642819908205744 ↗
39. Large-scale simulation of normal grain growth via diffusion-generated motion10.1098/rspa.2010.0194 ↗
40. Computer simulation of 3-D grain growth using a phase-field model10.1016/S1359-6454(02)00084-8 ↗
41. 3-D phase-field simulation of grain growth: topological analysis versus mean-field approximations10.1016/j.actamat.2012.01.037 ↗
42. Phase-field modeling for 3D grain growth based on a grain boundary energy database10.1088/0965-0393/22/3/034004 ↗
43. Ultra-large-scale phase-field simulation study of ideal grain growth10.1038/s41524-017-0029-8 ↗
44. Three-dimensional Monte–Carlo simulation of grain growth using triangular lattice10.1016/j.msea.2005.07.046 ↗
45. Simulations of grain growth in realistic 3D polycrystalline microstructures and the MacPherson–Srolovitz equation10.1088/2053-1591/aa7317 ↗
46. Cellular automata simulation of grain growth in three dimensions based on the lowest-energy principle10.1016/j.jcrysgro.2006.05.060 ↗
47. Geometric and topological properties of the canonical grain-growth microstructure10.1103/PhysRevE.92.063308 ↗
48. The von Neumann relation generalized to coarsening of three-dimensional microstructures10.1038/nature05745 ↗
49. Grain growth in anisotropic systems: comparison of effects of energy and mobility10.1016/S1359-6454(02)00078-2 ↗
50. Grain boundary segregation, solute drag and abnormal grain growth10.1016/j.actamat.2008.04.007 ↗
51. Grain growth kinetics in olivine aggregates10.1016/0040-1951(89)90221-7 ↗
53. Computer simulation of grain growth—II. Grain size distribution, topology, and local dynamics10.1016/0001-6160(84)90152-4 ↗
54. Breithaupt