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Monte Carlo Potts Model Simulation and Statistical Theory of 3D Grain Growth
Abstract:
An improved Monte Carlo (MC) Potts model algorithm has been implemented allowing an extensive simulation of three-dimensional (3D) normal grain growth. It is shown that the simulated microstructure reaches a quasi-stationary state, where the growth of grains can be described by an average self-similar volumetric rate of change, which depends only on the relative grain size. Based on a quadratic approximation of the volumetric rate of change a generalized analytic mean-field theory yields a scaled grain size distribution function that is in excellent agreement with the simulation results.
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1219-1224
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Online since:
October 2007
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© 2007 Trans Tech Publications Ltd. All Rights Reserved
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