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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.actamat.2021.116699

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Earth Sciences
Oxford college:
University College
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Physics
Oxford college:
All Souls College
Role:
Author
ORCID:
0000-0001-8450-2697
More by this author
Institution:
University of Oxford
Department:
EARTH SCIENCES
Sub department:
Earth Sciences
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0001-8746-5430


Publisher:
Elsevier
Journal:
Acta Materialia More from this journal
Volume:
209
Article number:
116699
Publication date:
2021-02-05
Acceptance date:
2021-01-23
DOI:
EISSN:
1873-2453
ISSN:
1359-6454


Language:
English
Keywords:
Pubs id:
1161234
Local pid:
pubs:1161234
Deposit date:
2021-10-26
ARK identifier:

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