摘要
提出采用拉丁方试验设计方法进行样本数据设计,同时为了提高计算效率,将Kriging插值引入到板料成形优化设计的复杂系统中,并基于初始化变量进行优化,采用Kriging插值对样本点和优化过程中形成的优化点重新进行响应面构造,以确定优化范围内新的初始值,并将约束减小到一定范围;采用遗传优化算法对更新的设计变量初始值和约束范围进行优化,直至得到最优解。计算结果表明,Kriging插值近似建模技术预测精度和建模效率高,对汽车覆盖件行李箱盖的压边力、拉延筋阻力最优设置以及如何避免出现拉裂及起皱现象均有不错的优化效果。
A sample data design was carried out by adopting Latin square experimental design method.In order to improve computing efficiency,a Kriging surrogate model was introduced into the complex system of optimization design of automotive panel sheet forming,and was employed for producing coarsen response surface.And then,the Kriging interpolation method was used for constructing the better robust surface to decide the better initial values of design variable and reduce constraints to in considerable range.Finally,genetic algorithm was applied for finding the best optimization results.The optimization results show which is able to accurately quantify the warpage of sheet metal forming and crack in the trends and characteristics,Kriging-based optimization method is done,and Kriging model has better prediction ability,with the accuracy of the interest region and the points with larger predicted uncertainty for the accuracy and efficiency of the global approximation.It is optimized by suggested method on the holder force,drawbead resistance of automotive panel sheet forming to eliminate the crack and wrinkle,with good results.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2011年第17期2122-2126,2135,共6页
China Mechanical Engineering
基金
湖南大学汽车车身先进设计制造国家重点实验室自主课题资助项目(61075003)
教育部长江学者和创新团队发展计划资助项目(531105050037)
关键词
KRIGING插值
拉丁方试验设计
冲压成形
优化设计
Kriging interpolation
Latin square experimental design
sheet forming
optimization design
