Optimization Technology of Sheet Metal Deep Drawing with Variable Blank Holder Force
For the sake of higher quality in sheet metal deep drawing, 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
variable blank holder force (VBHF) artificial neural network (ANN) numerical simulation
Qihan Li Mingzhe Li Qihan Li Ye Tian
Roll Forging Research Institute Jilin University Changchun,China School of Mechatronic Engineering CUT Changchun,China School of Mechatronic Engineering CCUT Changchun,China
国际会议
长春
英文
495-497
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）