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A more accurate two-dimensional grain growth algorithm

delete2010-01-01
delete40
PRE
AI
E
Emanuel A. Lazar *
R
Robert MacPherson
D
David J. Srolovitz
DOI:10.1016/j.actamat.2009.09.008delete
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摘要

摘要

En 中文
We describe a method for evolving two-dimensional polycrystalline microstructures via mean curvature flow that satisfies the von Neumann-Mullins relation with an absolute error O(Delta t(2)). This is a significant improvement over a different method currently used that has an absolute error O(Delta t). We describe the implementation of this method and show that while both approaches lead to indistinguishable evolution when the spatial discretization is very fine, the differences can be substantial when the discretization is left unrefined. We demonstrate that this new front-tracking approach can be pushed to the limit in which the only mesh nodes are those coincident with triple junctions. This reduces the method to a vertex model that is consistent with the exact kinetic law for grain growth. We briefly discuss an extension of the method to higher spatial dimensions. (C) 2009 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
Keyword:
Grain growth
Simulation
von Neumann-Mullins theory

期刊

Acta Materialia 封面图
Acta Materialia
IF:
9.3
论文数:
2.0W
被引数:
12.9W

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I
institute for advanced study - usa
学者数:
933
论文数: 1.4K
被引数: 15
P
Princeton University
学者数:
2.1W
论文数: 2.3W
被引数: 5.1W
A
agency for science technology & research (a*star)
学者数:
2.2W
论文数: 1.9W
被引数: 57
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