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Volume 25 Issue 3
Aug.  2021
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Article Contents
WANG Chao, LIU Guoquan, QIN Xiangge. A Monte Carlo Simulation of Two-dimensional Grain Growth Process with Self-Similar Size Distribution[J]. Chinese Journal of Engineering, 2003, 25(3): 226-229. doi: 10.13374/j.issn1001-053x.2003.03.035
Citation: WANG Chao, LIU Guoquan, QIN Xiangge. A Monte Carlo Simulation of Two-dimensional Grain Growth Process with Self-Similar Size Distribution[J]. Chinese Journal of Engineering, 2003, 25(3): 226-229. doi: 10.13374/j.issn1001-053x.2003.03.035

A Monte Carlo Simulation of Two-dimensional Grain Growth Process with Self-Similar Size Distribution

doi: 10.13374/j.issn1001-053x.2003.03.035
  • Received Date: 2002-09-13
    Available Online: 2021-08-17
  • 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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