基于响应面模型和遗传算法的汽车发罩外板冲压工艺参数多目标优化

发布时间：2018-01-15 16:41

本文关键词：基于响应面模型和遗传算法的汽车发罩外板冲压工艺参数多目标优化　出处：《锻压技术》2017年05期 　论文类型：期刊论文

【摘要】：以汽车发罩外板为例,将压边力、冲压速度、凹模与板料间摩擦系数和凸模与板料间摩擦系数作为工艺参数变量,以拉延工序最大减薄率和修边工序后最大回弹量为优化目标,应用中心复合试验设计(CCD)及有限元模拟获取样本数据。由试验数据建立二阶响应面模型,结合非支配排序遗传算法(NSGA-Ⅱ)实现多目标优化,得到优化的工艺参数组合为:压边力为1145kN,冲压速度为3480mm·s~(-1),凹模与板料摩擦系数为0.106,凸模与板料摩擦系数为0.13。基于优化的工艺参数指导模面回弹补偿分析并试模,研究结果表明,发罩外板实际冲压成形质量较好。
[Abstract]:Taking the outer plate of automobile hair cover as an example, the blank holder force, stamping speed, friction coefficient between die and sheet metal and friction coefficient between punch and sheet metal are taken as process parameters variables. Taking the maximum thinning rate of drawing process and the maximum springback of trimming process as the optimization objectives, the central composite test design (CCDD) and finite element simulation were used to obtain the sample data. The second-order response surface model was established from the test data. The optimized process parameters are as follows: the blank holder force is 1145kN, and the stamping speed is 3480mm 路sb-1). The friction coefficient of die and sheet is 0.106, the coefficient of friction between punch and sheet is 0.13. Based on the optimized process parameters, the springback compensation analysis of die surface is guided and the test die is tested. The actual stamping quality of the outer plate is good.
【作者单位】：江苏大学材料科学与工程学院;
【基金】：国家自然科学基金资助项目(51275216)
【分类号】：TG386;U466
【正文快照】： 汽车覆盖件是车身的重要组成部分,具有尺寸大、工艺复杂和成形精度要求高等特点。汽车覆盖件成形过程中易出现拉裂、起皱和回弹等缺陷,传统的人工试模很难快速解决这些缺陷的产生[1-2]。随着有限元数值技术与优化方法的不断发展,采用数值模拟代替实际试模,并结合优化方法用

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