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

TL;DR

This paper introduces a stochastic model incorporating local environmental heterogeneity to better predict grain-size distributions in normal grain growth, addressing discrepancies in classical models.

Contribution

The authors develop a modified Hillert model that accounts for local heterogeneity using stochastic processes, providing a more accurate description of grain growth dynamics.

Findings

Broader grain-size distribution predicted than classical models

Local environment variability causes large grains to undergo a random walk

Model aligns well with observed grain-growth kinetics

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 microstructure.