Abstract
Computer simulations of normal grain growth are presented. These simulations are stochastic in nature, taking account of the migration probabilities of the grain boundary atoms. The mean field approximation is used to simplify the dynamics of the network. Results for the surface tension driven growth agree well with analytical theory, reinforcing the dynamical interpeetation of the system that is used here. The simulation technique is easily adapted to model the effect of other driving mechanisms. We investigate the role of thermal fluctuations on the system and find that they suppress the growth in a deterministic way. We discuss the experimental observations and highlight the need for a good microscopic model of the boundary migration mechanism to predict the true growth exponent expected in real materials.
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