Revealing curvature and stochastic effects on grain growth: A thermodynamic perspective from extremal principle

Yue Li, Zhijun Wang, Yujian Wang, Junjie Li, Jincheng Wang

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

In the theoretical analysis of grain growth kinetics, the roles of curvature and stochastic effects have been an open question for many years. Considering contributions of microstructure entropy and a phenomenological grain topological energy, the present work develops a thermodynamic dissipation-based framework for representing the stochasticity and spatial correlations in grain growth. This framework reveals the correlations between previous mean-field and stochastic theories, whose validities are further assessed by the 3-D Aboav-Weaire relationship.

源语言英语
文章编号114766
期刊Scripta Materialia
217
DOI
出版状态已出版 - 8月 2022

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