Authors: Yan Lou Wenhua Wu Luoxing Li
Publish Date: 2011/08/09
Volume: 21, Issue: 7, Pages: 1133-1140
Abstract
The effect of the dynamic recrystallization DRX parameters are of prime importance to improve the accuracy of the numerical simulation of hot forming processes for metals However it is difficult to determine the values of DRX parameters from experiments because of the influence of various factors such as temperature etc In the present study the DRX parameters for AZ31 magnesium alloy are identified by using the method of inverse analysis based on measured stress BP neural network algorithm genetic algorithm GA orthogonal experiment and numerical simulation Then by applying the identified parameters in finite element analysis the comparison between the numerically calculated and the experimental results is made to verify the correctness of the method The results show that the numerically calculated stress strain recrystallized fraction and average grain size valus are in good agreement with the experimental ones These results demonstrate that the method of inverse analysis is a feasible and an effective tool for determination of the AZ31 DRX parameters
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