锻压技术

复杂汽车结构件多工位级进模条料冲裁刃口优化设计

英文标题：Optimization design of strip blanking blade of multistation progressive die for complex automotive structural parts

作者：李贵1 2 刘耀东1 2 梁仁杰1 2

单位：1. 武汉科技大学冶金装备及其控制教育部重点实验室 2. 武汉科技大学机械传动与制造过程湖北省重点实验室

关键词：多工位级进模条料冲裁刃口外凸性轮廓线

分类号：TG386

出版年,卷(期):页码：2022,47(1):153-160

摘要：

复杂汽车结构件的条料冲裁刃口是依据其展开的轮廓线设计得到的，由于轮廓线为复杂曲线，刃口的形状各异，使得其设计比较复杂。因此，基于轮廓曲线的内凹特征拐点分割思想，提出一种冲裁刃口优化设计方法。首先，对条料及其刃口的特点进行总结、分析和研究，提出冲裁刃口设计的一般性通用准则。然后，根据刃口外凸性要求，提取轮廓线相对冲裁区域的内凹点，基于他们沿送料方向作分割线，将冲裁区切割为多个异形区域。提出以异形区域与其矩形包容盒面积比作为判断依据，对分块区域的分割线进行优化，得到刃口分块方案。最后，以各刃口冲裁合力作用中心到冲裁模具中心的最小距离为优化目标函数，求解得到冲裁刃口工位的最优布置方案。实例表明，通过该方法优化设计得到的冲裁刃口满足外凸性质量要求，可为多工位级进模条料的全自动化智能设计提供支持。

The strip blanking blade of complex automotive structural part is designed according to its unfold outline. Because the contour line is a complex curve, the blade of different shapes makes its design more complicated. Therefore, based on the cutting concept at the inflection points of concave feature for contour curve, an optimization design method of blanking blade was proposed. First, the characteristics of the strip and its blade were summarized, analyzed and studied, and the general design criteria of blanking blade was proposed. Then, depending on the requirements of the blade convexity, the concave points of the contour curve relative to the blanking area were extracted. Based on the concave pole points, the cutting lines were made along the feeding direction, and the blanking was cut into several special-shaped areas. Furthermore, based on the area ratio of the special-shaped area to its rectangular containment box, the segmentation lines of the blanking area were optimized, and the blade segmentation schemes were obtained. Finally, the optimization layout scheme of the blanking blade station was obtained by constructing the minimum distance between the center of the combined blanking force for each blade and the center of the blanking die. The examples show that the blanking blades obtained by the optimized design meets the requirements of convexity quality, which provides strong support for strip automated intelligent design in the multi-station progressive die.

基金项目：

容桂科技计划项目(容桂经发(2017)27号-8)

作者简介：李贵（1983-），男，博士，副教授 E-mail：leegui2030@wust.edu.cn

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