摘要
通过对拉深翻边复合成形工艺设计中的失稳方式进行理论分析和模拟仿真,建立了破裂、起皱和厚度不均3个目标函数.针对各成形质量目标相互关联而无法同时达到最优的特点,提出一种基于多目标优化技术的综合优化方法.以空调外机面板为例,经试验设计和基于Matlab的数据处理技术构建响应面模型,采用改进的快速分类非支配遗传算法对模型进行全局寻优,获得了一组最小化成形缺陷的非劣解集.结果表明,该多目标优化模型具有较好的优化效果和工程实用性.
To optimize the drawing and flanging process, three objective functions for fracture, wrinkle and thickness varying were built using theoretical analysis and numerical simulations. In order to minimize the defects of sheet metal forming simultaneously, a synthetical method was developed based on the multi objective optimization technique. In this method, taking the air conditioner front panel as an example, response surface models were created by combining experimental design and data handling with Matlab. Then, an improved fast non dominated sorting genetic algorithm was used to obtained a set of Pareto front, which minimized rupture, wrinkle and uneven thickness integrally. The results of numerical simula tion and production test show that the optimization model is valid and practical.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2014年第3期412-416,421,共6页
Journal of Shanghai Jiaotong University
基金
重庆市自然科学基金资助项目(2012jjA1585)
关键词
薄板冲压
拉深翻边
多目标优化设计
响应曲面法
改良式遗传算法
sheet metal stamping
drawing-flanging
multi objective optimization design
response surfacemethodology
improved genetic algorithm