摘要
高强钢零件能最大限度保证车身结构的稳健性以及乘客的安全,但是成形过程中易出现缺陷。利用Autoform软件对DP600钢纵梁内板的拉深成形过程进行模拟,预测了板料成形过程中拉裂、起皱、回弹等缺陷。对相关工艺参数应用最优拉丁超立方获得足够的样本点,构建目标值响应面模型,采用NSGA-Ⅱ遗传算法对目标值进行了优化,得到了成形较好的工艺参数组合。优化结果表明:压边力为1356312 N,摩擦系数为0.122,等效拉延筋系数为0.445、0.360能够获得较好的成形质量。
High-strength steel part can guarantee maximum robustness of body structure and maximum passenger safety, but it easily produces defects in the forming process. Deep drawing process of DP600 steel beam inner plate was simulated by using Autoform software. The cracking, wrinkling, springback and other defects in sheet metal forming process were predicted. The enough sample points of the related process parameters were gotten by applying optimal Latin hypercube. The response surface model of target value was established. The target value was optimized by using NSGA- Ⅱ genetic algorithm. The better combination of forming process parameters was gotten. The optimization results show that when the blank holder force is 1356312N, friction coefficient is 0.122, and the equivalent drawbead coefficients are 0.445 and 0.360, the good forming quality can be acquired.
出处
《热加工工艺》
CSCD
北大核心
2016年第3期102-106,共5页
Hot Working Technology
基金
国家自然科学基金资助项目(51165034)
江西省自然科学基金资助项目(2013BAB206029)