基于多目标粒子群算法的覆盖件冲压成形动态压边力优化  

Optimization of dynamic blank holder force in panel stamping process based on multi-objective particle swarm optimization

作　　者：高孝书 GAO Xiaoshu(School of Industrial Engineering,Ningxia Polytechnic College,Yinchuan 750021,Ningxia China)

机构地区：[1]宁夏职业技术学院工业工程学院,宁夏银川750021

出　　处：《锻压装备与制造技术》2022年第6期120-124,共5页China Metalforming Equipment & Manufacturing Technology

基　　金：宁夏自然科学基金项目(2020AAC03257);宁夏青年科技人才托举工程项目(2019TJGC053)。

摘　　要：针对覆盖件冲压成形,提出一种有效的动态压边力多目标粒子群优化方法。该方法以减少覆盖件的开裂、起皱和回弹缺陷为优化目标,以动态压边力曲线的特征参数为优化变量,采用基于拥挤距离的多目标粒子群优化算法(MOPSO-CD)和最小距离求解法,对U型冲压标准模型和某方盒形覆盖件冲压成形实例进行了动态压边力优化试验。试验结果表明,该方法能有效解决薄板冲压成形中的动态压边力优化问题,为覆盖件冲压成形工艺的制定及优化提供借鉴。An effective multi-objective particle swarm optimization method for dynamic blank holder force(DBF)has been proposed for panel stamping process.The method takes the reduction of cracking,wrinkling and springback defects of the panel as the optimization objective,the characteristic parameters of the dynamic blank holder force curve as the optimization variables,while the multi-objective particle swarm optimization algorithm based on crowding distance(MOPSO-CD)and the minimum distance solution method have been used to carry out the dynamic blank holder force optimization experiments on the stamping forming process of the standard U-shaped die and a square box shaped panel.The experimental results show that the method can effectively solve the optimization problem of dynamic blank holder force in sheet metal stamping process,which provides a reference for the formulation and optimization of panel stamping process.

关 键 词：多目标优化 粒子群算法 动态压边力 覆盖件冲压 

分 类 号：TG386[金属学及工艺—金属压力加工] TP391[自动化与计算机技术—计算机应用技术]