基于Isight的白车身多目标优化研究  

Multi-objective Optimization Based on Isight for Body-in-white

作　　者：张宜[1] 苏小平[1] 张桃沙 

机构地区：[1]南京工业大学机械与动力工程学院,江苏南京211816

出　　处：《机械工程与自动化》2016年第2期16-18,共3页Mechanical Engineering & Automation

基　　金：江苏省高技术研究重点实验室项目(BM2007201)

摘　　要：在Isight中搭建过程集成参数研究平台和优化平台,对某型轿车白车身进行灵敏度分析,找出对质量和响应位移敏感、对弯曲刚度和扭转刚度不敏感的零件。通过优化拉丁超立方实验设计构造样本点并建立RSM近似模型,结合多岛遗传算法和序列二次规划算法的优化方式进行多目标优化,优化后的白车身质量和响应位移有不同程度减小,而车身弯扭刚度没有明显减小。A process integration parameter optimization and study platform was set up in Isight.Through the sensitivity analysis of a certain body-in-white（BIW）,the parts which had a principal impact on mass and response displacement and a minor impact on bending stiffness and torsion stiffness were found out.The Opt-LHD was used to generate sample points,then the RSM approximation model was built.The optimization strategy which combined Multi-Island GA and NLPQL was used to obtain the optimum result of the mass and response displacement.After optimization,the mass and displacement of the BIW decreased while the body bending stiffness and torsion stiffness had little decrease.The method presented in this paper has a reference value for vehicle body optimization.

关 键 词：ISIGHT 白车身 多目标优化 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术] U463.821[自动化与计算机技术—计算机科学与技术]