![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:吉林工业大学
学位:博士
所在单位:机械工程学院
电子邮箱:pinghu@dlut.edu.cn
A prediction approach for oil canning of sheet metal forming based on strain gradient
点击次数:
论文类型:会议论文
发表时间:2012-11-27
收录刊物:EI、Scopus
卷号:199 LNEE
期号:VOL. 11
页面范围:191-202
摘要:From test studying, it indicates that the lower strain magnitude and non-homogeneous strain distribution are the causes of oil canning in large flat/sweep areas of stamping product. In order to eliminate oil canning defect, the minimum equivalent strain in deformation zone should be greater than 2 % and the strain gradient be as small as possible. The prediction approach was proposed for oil canning problem based on strain gradient and equivalent strain magnitude, and the approach was integrated into KMAS-UFT software aiming at predicting oil caning problem by CAE analysis. The paper takes hood outer panel as an example and carries out CAE analysis. It is confirmed that the prediction approach is both accurate and effective. ? 2013 Springer-Verlag.