A Monte Carlo Simulation of Two-dimensional Grain Growth Process with Self-Similar Size Distribution
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Abstract
To investigate the effect of initial grain size distribution on normal grain growth, Monte Carlo simulation was performed starting from an initial microstructure with the Weibull grain size distribution in two-dimension. The results show that the grain structure evolved alike with the initial, and the grain size distribution of the quasi-stationary state could be described well by the Weibull function but not by classical Hillert distribution. Comparison with some other results further suggests that Weibull distribution with different β values may well be used to describe the quasi-stationary grain size distribution.
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