Incremental Forming Process Optimization of Square Cone-shaped Part

Aiming at the problems of serious thinning, easy cracking of sheet, poor dimensional precision and low forming efficiency in incremental forming, a nonlinear mapping relation between forming process parameters and optimization objective was established based on BP neural network. Then, the optimization of incremental forming process parameters for square cone-shaped part was realized by using the multi-objective genetic algorithm(NSGA-II). The results show that using BP neural network and the multi-objective genetic algorithm can preferably optimize incremental forming process parameters and improve the forming quality of parts.