Optimization of stamping process parameters based on orthogonal test and intelligent algorithm

Abstract

This paper attempts to optimize the stamping process parameters to obtain better sheet metal forming quality through orthogonal experiment and intelligent optimization algorithm, which provides a guidance for adjusting stamping process parameters in production. Fristly, the finite element model of the part and the orthogonal test scheme are determined. Secondly, the evaluation index of sheet metal stamping quality were established based on meeting the forming limit diagram. Thirdly, on the basis of the simulation results, the stamping process parameters were optimized by BP neural network and genetic algorithm. Finally, according to the results of parameter optimization, the stamping test of the trunk rear floor was carried out. The test shows that it's feasible that the method of optimizing stamping process parameters based on the orthogonal experiment, which provides a guidance for adjusting stamping process parameters and has value for engineering application.