Optimization of Initial Blank Shape with a Variable Blank Holder Force in Deep-Drawing via Sequential Approximate Optimization
Optimization of Initial Blank Shape with a Variable Blank Holder Force in Deep-Drawing via Sequential Approximate Optimization
复制标题
DOI：
10.1299/jamdsm.6.1093
复制
发表时间：
2012
影响因子：
0.9
通讯作者：
Jirasak Srirat;S. Kitayama;K. Yamazaki
中科院分区：
文献类型：
--
作者：
Jirasak Srirat;S. Kitayama;K. Yamazaki
本文采用径向基函数（RBF）网络序列近似优化（SAO）算法对初始毛坯形状进行优化。在拉深过程中，起皱和撕裂是主要的缺陷。此外，坯料初始形状过小会导致坯料边界被拉成修边轮廓，这是坯料的几何缺陷。因此，这三个缺陷被作为设计约束。另一方面，凸缘面积，这通常被称为耳，作为目标函数。此外，变压边保持器力（VBHF）的轨迹确定。本文还提出了一种新的算法来评估的耳朵和几何缺陷的SAO。数值结果表明，采用VBHF轨迹优化初始毛坯形状，可获得无缺陷的产品。与采用恒压边保持器力的方形坯料相比，可减少60%的材料浪费。
In this paper, the initial blank shape is optimized via sequential approximate optimization (SAO) with radial basis function (RBF) network. In deep drawing, the wrinkling and tearing are major defects. In addition, too small initial blank shape will results in the boundary of blank drawn into a trimming contour, which is the geometrical defect. Therefore, these three defects are taken as the design constraints. On the other hand, the flange area, which is often called the earing, is taken as the objective function. Also, variable blank holder force (VBHF) trajectory is determined. In this paper, new algorithm to evaluate the earing and the geometrical defect is also proposed for the SAO. Numerical result shows that the optimization of the initial blank shape with VBHF trajectory leads to defect-free product. In comparison with the use of square blank shape with a constant blank holder force, 60% reduction of the waste of material can be achieved.