Article ID Journal Published Year Pages File Type
7961465 Computational Materials Science 2013 6 Pages PDF
Abstract
A modified Monte Carlo Potts model for grain growth simulation with the preferential influence of particles on grain boundaries is presented. The presence of particles can influence the grains growth by pinning their boundaries. This pinning effect occurs in a selective way in textured materials such as magnetic sheets Fe-3%Si. Owing to its simplicity, Monte Carlo Potts (MCP) model for grain growth simulation has been applied with sum success for various materials. Unfortunately, one cannot introduce the preferential pinning of particles on grain boundaries directly in the MCP simulation procedure. The proposed model provides a tool for studying the preferential effect of particles on grain boundaries. It is able to simulate the abnormal growth of Goss grains observed in the Fe-3%Si magnetic alloys.
Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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