论文部分内容阅读
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 parts to maximize the structural integrity of the body to ensure the safety and passenger safety, but prone to defects in the forming process. Autoform software was used to simulate the drawing process of the inner panel of DP600 steel, which predicted the defects such as cracking, wrinkling and rebound in the sheet forming process. The optimal parameters of Latin hypercube were obtained for the relevant process parameters to obtain enough sample points. The response surface model of target value was constructed. The target value was optimized by NSGA-Ⅱ genetic algorithm, and the well-formed process parameters were obtained. The results of the optimization show that the blank holder force is 1356312 N, the friction coefficient is 0.122, the effective drawbead coefficient is 0.445 and 0.360, and the better forming quality can be obtained.