车身覆盖件回弹控制的成形工艺多目标优化  

Multi-Objective optimization of Forming Process for Auto-body Panel Based on Springback Control

作　　者：阳湘安[1,2] 阮锋[2] 

机构地区：[1]广东技术师范学院机电学院,广州510643 [2]华南理工大学机械与汽车工程学院,广州510640

出　　处：《上海交通大学学报》2011年第11期1673-1677,1683,共6页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目(50805050)

摘　　要：分析了车身覆盖件成形工艺优化问题中回弹评价目标函数的确定准则,建立了合理的基于回弹控制的成形工艺多目标优化模型.采用实验设计(DOE)、径向基函数神经网络(RBF)和非支配排序遗传算法(NSGA-II)相结合的优化策略对问题进行了全局优化求解,在与相应的单目标优化结果对比后,分析了压边力和拉延筋力对回弹的影响机理.结果表明,压边力主要通过对工件的塑性变形产生影响,进而影响回弹,随着压边力的增加工件塑性变形程度加大而回弹急剧减少,但是当压边力增大到一定程度后工件的回弹反而增大;拉延筋力则主要对工件的内应力分布产生较大影响,并因此影响工件切边后的回弹.与相应的单目标优化模型相比,文中的多目标优化模型在控制回弹的同时能够更全面地考虑板料成形的其他缺陷.Selection criteria of objective function in the optimization model aimed to reduce springback for auto-body panel were discussed.Taking the automobile roof panel as an example,a multi-objective optimization model was established to control springback.The design of experiment（DOE）,radial basis function neural networks（RBF） and non-dominated sorting genetic algorithm（NSGA-II） were employed to solve the model.The solution was compared with that of the corresponding single-objective optimization models to analyze the influence of forming process on springback.The results show that blankholder force influences the amount of plastic deformation significantly,and thus the amount of springback.large plastic deformation would occur and springback would decrease rapidly with increasing blankholder force,but when it increases to a certain extent springback would also increase slightly,while drawbead forces have great effect on the internal stress distribution of the sheet metal,thus eventually influence trimming springback.Compared with corresponding single-objective optimization models,the proposed multi-objective optimization model considers forming defects more comprehensively and is more reasonable for application.

关 键 词：回弹 优化 板料冲压 成形工艺 

分 类 号：TG386[金属学及工艺—金属压力加工]