Modeling of Dynamic Recrystallization Process in AZ31 Magnesium Alloy Using Cellular Automaton Method

Xiao Hu Deng; Dong Ying Ju; Xiao Dong Hu; Hong Yang Zhao

doi:10.4028/www.scientific.net/MSF.833.19

Paper Titles

Loading Rate Sensitivity of Fracture Absorption Energy of Bainitic-Austenitic TRIP Steel
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Fatigue Crack Growth Behavior of High Manganese Austenitic TWIP Steels
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Phase-Field Simulation of Binary Alloy Crystal Growth Prepared by a Fluid Flow
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Thermal Flow-Solidification Simulation and Analysis of Strip Defects in Vertical Twin-Roll Casting of Magnesium Alloy
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Modeling of Dynamic Recrystallization Process in AZ31 Magnesium Alloy Using Cellular Automaton Method
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Monolithic Porous Materials Fabricated by Dealloying Method in Cu-Fe-Co and Cu-Fe-Ni Systems
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Fabrication of a New Al-Ti-C Master Alloy and its Refining Effect on AZ31
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Electrocatalytic Oxidation of Oxalic Acid Using a Multielectrolytic Modified Glassy Carbon Electrodes
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Luminescence Properties of a Novel Blue-Emitting Phosphor NaBaBO₃:Tm³⁺,K⁺
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HomeMaterials Science ForumMaterials Science Forum Vol. 833Modeling of Dynamic Recrystallization Process in...

Modeling of Dynamic Recrystallization Process in AZ31 Magnesium Alloy Using Cellular Automaton Method

Abstract:

A modified 2-D CA model has been developed to simulate dynamic recrystallization behavior of Magnesium (Mg) alloy during hot deformation processing. Based on the fact that Mg has an HCP crystal structure with six-fold symmetry, the model employs the hexagonal CA lattice. The initial microstructure with prescribed grain size was generated by a normal grain growth algorithm. The DRX model consists of dislocation density evolution model, DRX nucleation model and recrystallization grain growth model. DRX grain morphology and size, flow curve were simulated by the present model. The calculated results were compared with the available experimental findings in AZ31 Mg alloy, the predictions show very good agreement with the experimental results.