主催: 一般社団法人 日本機械学会
会議名: 第13回最適化シンポジウム2018
開催日: 2018/10/15 - 2018/10/16
In sheet forming, the blank holder force (BHF) has a direct influence on product quality. For successful sheet forming, the BHF should be adjusted. Recently, the variable BHF (VBHF) that the BHF varies through stroke is recognized as one of the advanced sheet forming technologies. On the other hand, slide velocity (SV) that controls the die velocity is rarely discussed in the literature, and the SV should also be taken into account for the successful sheet forming. A high SV can achieve the high productivity, but wrinkling occurs. In this study, a design optimization approach using machine learning technique is adopted to determine them for achieving the high productivity. Numerical simulation in sheet forming is so intensive that a sequential approximate optimization using radial basis function network is adopted. Based on the numerical result, the experiment is carried out to examine the validity of proposed approach.