In order to investigate the hot stamping deformation behavior of AZ31 magnesium alloy cell phone case parts,the relationship between each process parameter and the quality evaluation indexes,and improve the forming quality,DYNAFORM finite element software,a model of the cell phone case was established to analyze its hot stamping forming law.Under the condition of 250 ℃,the simulation analysis of hot stam-ping is carried out on the parts,and the relationship between the blank holder force,stamping speed,fric-tion coefficient and resistance coefficient and the maximum thickening rate and the maximum thinning rate are deeply analyzed by using the orthogonal analysis and the gray system theory(GS theory).Genetic algo-rithm(GA)was used to optimize the two key influence parameters of stamping speed and resistance coeffi-cient,the optimality search test is carried out by using back propagation(BP)neural network.The results show that the stamping deformation of the part is non-uniform,with wrinkling most likely to occur at the edges of the rounded corners,rupture most likely to occur at the rounded corners of the convex die,and vir-tually no plastic deformation at the bottom and most of the sidewalls.The drag coefficient and the stamping speed have a greater influence on the maximum thinning rate,whereas the blank holder force and the fric-tion coefficient have a lesser influence.In the pursuit of minimizing the maximum thinning rate,the GA op-timization strategy shows excellent prediction accuracy and optimization efficiency,and finite element simu-lation confirms its accuracy and effectiveness.This study provides a practical optimization strategy for the hot stamping analysis of AZ31 magnesium alloy,which has practical application value.
AZ31 magnesium alloyhot stampingorthogonal analysisgrey system theorygenetic algo-rithmBP neural network
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