Research status and prospects of dynamic recrystallization simulation of magnesium alloys
Dynamic recrystallization,as an effective softening and grain refinement mechanism,has always been a research hotspot in the field of hot working.However,the dynamic recrystallization information of metal materials can generally only be obtained through a large number of experiments.In recent years,with the development of computers,numerical simulation technology has become an effective and reliable means of studying dynamic recrystallization.It can transfer result oriented experiments to process oriented experiments on the basis of reducing experiments,so as to characterize the experimental results more intuitively.This article reviews the current status and application progress of various methods for simulating dynamic recrystallization of magnesium alloys,including artificial neural network method,Monte Carlo method,cellular automaton method,finite element method and phase field method.The characteristics and limitations of each simulation method are discussed,and further research directions are proposed to provide more reference methods for the study of microstructure evolution of magnesium alloys.
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