Springback prediction in sheet metal stamping process on complex space curved surface(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2016年04期
- Page:
- 119-126
- Research Field:
- 汽车与机械工程
- Publishing date:
Info
- Title:
- Springback prediction in sheet metal stamping process on complex space curved surface
- Author(s):
- YANG Zhong-jiong; YUAN Hong-liang; ZHOU Li-qiang; JIANG Dong-shen
- (School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, Hunan, China)
- Keywords:
- mechanical engineering; springback prediction; particle swarm optimization; minimum energy principle; deformation theory of plasticity
- PACS:
- TG386
- DOI:
- -
- Abstract:
- In order to predict thin plate of complex space curved surface’s springback in sheet metal stamping process, taking concrete mixer helical blade for example, a method to predict complex space curved surface’s spingback was proposed based on sheet metal plate’s energy function. Firstly, according to the theory of particle swarm optimization method, blank line’s mapping on curved surface was obtained, then, mapping curve node’s coordinate parameters u were introduced and nodes were transformed into control vertexes. And surface function represented by control points were substituted into thin plate’s energy function established by the shell theory. With the help of minimum energy principle, surface nodes strain’s parameter equation was established, and surface nodes’ strains could be obtained by solving the equations. Finally, using the deformation theory of plasticity, springback of each node on complex space curved surface was deduced, and by fitting the nodes redistributed after springback, the surface after springback was gained. The results show that the semi-analytical and semi-numerical springback prediction algorithm based on energy function can relatively accurately predict springback of helical blade in sheet metal stamping process, has the advantages of simple implementation and fast computation speed when compared with nowadays popular numerical simulation method and is of certain instructive significance on complex space curved surface prediction.
Last Update: 2016-07-29