关键词: 多目标优化, 变压边力, 薄板冲压成形, 微型多目标遗传算法

Abstract:

A multi-objective optimization method for the optimization of variable binder force in sheet metal forming was suggested. The objectives were to minimize the forming shortcomings and the characteristic parameters of the variable binder force curve were selected as the design variables. The micro multi-objective genetic algorithm with high efficiency was adopted. An approximation model based on the neural network was also used to improve the efficiency. As an examples, a 2D draw bending problem of NUMISHEET’93 and a shoe plate of the front floor of a car stamping problem were solved using the presented method. Eventually, several variable binder force curves which could fulfill different needs are acquired efficiency.

Key words: multi-objective optimization, variable binder force;sheet metal forming, micro multi-objective genetic algorithm