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Monte Carlo Simulation of Normal Grain Growth in Three Dimensions

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Abstract:

A Monte Carlo algorithm for single-phase normal grain growth has been implemented, which allows one to simulate and observe the temporal development of large grain microstructures in three dimensions. The relaxation process to the self-similar coarsening regime has been studied by following the temporal development of quantities like the average grain size, the standard deviation of the grain sizes and topological correlations.

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Periodical:

Materials Science Forum (Volumes 567-568)

Pages:

81-84

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.567-568.81

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Online since:

December 2007

Authors:

Dana Zöllner, Peter Streitenberger

Keywords:

Grain Size Distribution, Monte-Carlo Simulation, Normal Grain Growth, Relaxation, Self-Similarity

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© 2008 Trans Tech Publications Ltd. All Rights Reserved

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