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Coupled macro-micro modeling for prediction of grain structure of Mg-Al alloy

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Indexed by:会议论文

Date of Publication:2013-08-04

Included Journals:EI、Scopus

Volume:4

Page Number:2723-2730

Abstract:A fully coupled finite difference-cellular automaton model is developed to simulate the microstructure of magnesium alloys. The comer growth algorithm, a new capture and growth rule, which is suitable for HCP crystal structure material is proposed. A fully new mechanism is introduced to control the liberation of latent heat during the calculation. The latent heat starts to liberate when the temperature drops below virtual liquidus which is defined as the nucleation temperature of a cell. The nucleation parameters were experimentally determined. By using this new model, the grain size and the microstructure of the sample were simulated. The good agreement between the experimental and simulated results shows the efficiency of this model.

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