Abstract

The dynamic recrystallization (DRX) behavior of as-extruded AM50 magnesium alloy was modelled and simulated by a cellular automaton (CA) method. Isothermal compression experiments were conducted, and the characteristic parameters in the CA model were obtained by the testing stress–strain flow curves in a wide temperature range of 250–450 °C and strain rate range of 0.001–10 s−1. The flow stress, DRX volume fraction and DRX grain size of the as-extruded AM50 magnesium alloy were predicted by CA simulation. The results showed that the DRX behavior of the studied magnesium alloy was susceptive with the temperature and strain rate; meanwhile, the prediction results were approximate to the experimental values, indicating that the developed CA model can make a confident estimation on the DRX behavior of the as-extruded AM50 magnesium alloy in high temperature conditions.

Highlights

  • The application of light alloys and their composites is considered as an important lightweight way in advanced industrial fields [1,2,3,4]

  • The results indicate that the cellular automaton (CA) simulation results can be used to predict the microstructural morphologies of AM50 Mg alloy under large thermoplastic deformation

  • A CA model was proposed for predicting the DRX behavior of AM50 Mg alloy during hot deformation in a wide temperature range of 250–450 ◦ C and a strain rate range of 0.001

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Summary

Introduction

The application of light alloys and their composites is considered as an important lightweight way in advanced industrial fields (e.g., automobile, aerospace and electronics) [1,2,3,4]. The dynamic recrystallization (DRX) plays an important role in the microstructure refinement during thermoplastic deformation of magnesium alloys [9]. Li et al investigated the microstructural evolution of AZ80 magnesium alloy by CA model coupled with finite element simulation [18]. E.g., modified Avrami type equations, are widely used for describing behavior of magnesium alloys [20,21,22] These pheThe the CADRX simulation results from the physical-based recrystallization kinetic model. Phenomenonomenological equations are experience-depended without physical meanings), and logical models are difficult to preciously predict the complex(i.e., microstructure evolution can only usedwords, in somea special deformation these phenomenologduring DRX [23].

Procedure
Evolution Modeling of Dislocation Density
Grain Growth
Cell Dimension Model and State Variable Setting
CA Performing Formulation
Material Parameters of CA Simulation
Results and Discussion
Microstructural
Comparisons
10. Comparisons
Conclusions
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