Improvement of springback prediction accuracy using material model considering elastoplastic anisotropy and Bauschinger effect
详细信息 查看全文
- 作者：S. Sumikawa ; s-sumikawa@jfe-steel.co.jp" class="auth_mail" title="E-mail the corresponding author ; A. Ishiwatari ; J. Hiramoto ; T. Urabe
- 关键词：Springback ; Bauschinger effect ; Elastic anisotropy ; Plastic anisotropy ; Young&rsquo ; s modulus
- 刊名：Journal of Materials Processing Technology
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：230
- 期：Complete
- 页码：1-7
- 全文大小：1574 K
文摘
- •
The material behaviors of two types of high strength steels were evaluated by material tests.
- •
A material model considering four material behaviors, the Bauschinger effect, average Young’s modulus, elastic anisotropy and plastic anisotropy, was developed.
- •
The influence of each material behavior on springback analysis was clarified.
- •
A material model which considers the dominant material behaviors can predict the amount of springback accurately.