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基于Kriging模型的高强钢成形回弹工艺优化和模面补偿研究
英文标题:Research on process optimization and die surface compensation for high-strength steel forming springback based on Kriging model
作者:王东涛 谢延敏 郭元恒 赵江波 杜凌峰 
单位:西南交通大学 
关键词:双C件 高强钢 Kriging代理模型 回弹控制 模具型面补偿 
分类号:TG386
出版年,卷(期):页码:2021,46(10):62-69
摘要:

 为了提高冲压成形件的精度,利用工艺参数优化与模具型面补偿对回弹进行控制。以高强钢TRIP780双C件为研究对象,使用有限元软件Dynaform对双C件的冲压、回弹过程进行数值模拟。通过冲压试验,并使用三坐标测量仪测量冲压件的回弹角,以验证有限元模型的精度。以成形后的回弹角为优化目标,基于正交试验,筛选出对回弹影响程度较大的因素。运用拉丁超立方抽样方法进行随机抽样,建立工艺参数与回弹角的Kriging代理模型,并采用多目标优化遗传算法寻求最佳工艺参数的Pareto解集。基于最佳工艺参数,利用模面补偿对双C件回弹进行控制,并对比优化前后的回弹角,结果表明该方法能有效地减小双C件的回弹。

 In order to improve the precision of stamping parts, the springback was controlled by optimization of process parameters and die surface compensation, and for double C part of TRIP780 high-strength steel, its stamping and springback processes were numerically simulated by finite element software Dynaform. Then, the accuracy of the finite element model was verified by the stamping test and the springback angles of stamping parts were measured with a three-coordinate measuring instrument, and taking the springback angles after forming as the optimization target, based on the orthogonal test, the factors that had a great impact on the springback were selected out. Furthermore, the random sampling was conducted by Latin hypercube sampling method, a Kriging surrogate model between process parameters and springback angles was established, and the Pareto solution set of optimum process parameters was found by the multi-objective genetic algorithm. Finally, based on the optimum process parameters, the springback of the double C part was controlled by die surface compensation, and the springback angles before and after optimization were compared. The results show that the springback of the double C part is effectively reduced by this method.

基金项目:
四川省科技计划资助项目(2019YFG0313);四川省国际创新合作项目(2020YFH0078)
作者简介:
作者简介:王东涛(1995-),男,硕士研究生 E-mail:dongtaowang@my.swjtu.edu.cn 通信作者:谢延敏(1975-),男,博士,副教授 E-mail:xie_yanmin@home.swjtu.edu.cn
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