STUDY ON OPTIMIZATION TECHNOLOGY OF SHEET METAL DEEP DRAWING WITH VARIABLE BLANK HOLDER FORCE
A non-axial symmetry part—automobile headlight reflector is taken as the research object. The objective function is obtained by approaching function of artificial neural network (ANN). Numerical simulation and multi-object genetic algorithms are adequately linked, whereafter, optimization model of variable blank holder force (VBHF) is established. At last, the reasonable VBHF curve is obtained. The result indicates that the VBHF curve optimized tallies with the tendency of plastic deformation in deep-draw better than traditional constant BHF and makes for even deformation and high quality product.
Li Qihan Li Mingzhe Cheng Kai Wang Juan
Jilin University, Changchun University of Technology. CCUT 84th mail box, Yan’an Road,Changchun, Jil Jilin University Changchun University of Technology
国际会议
第九届工程结构完整性国际会议(The Ninth International Conference on Engineering Structural Integrity Assessment)
北京
英文
2007-10-15(万方平台首次上网日期,不代表论文的发表时间)