华中科技大学学报（自然科学版）2009，Vol.37Issue(11)：86-89,4.
金属板折弯成形回弹预测及凸模几何参数反求
Punch design's springback prediction and geometrical parameter inverse of air-bending forming of sheet metal
摘要
Abstract
A prediction method based on genetic algorithm(GA) and back propagation neural network (BPNN) was proposed to solve springback problem of sheet metal after air-bending forming and punch design. Based on production experiment, the positive model and contrary model of springback prediction were developed by using GA and BPNN. Adopting the "object-positive model-contrary model" learning method, sheet springback law could be further studied with positive model and punch radius could be predicted by contrary model. Manifested by the experiment for air-bending forming of work-pieces, the prediction method proposed yields satisfactory performance in designing punch and forming workpiece.关键词
回弹预测/板料折弯成形/遗传算法/反向传播神经网络/凸模设计Key words
springback prediction/air-bending forming of sheet metal/genetic algorithm/ back propa-gation neural network/ punch design分类
矿业与冶金引用本文复制引用
付泽民,莫健华,王永骥,马志强..金属板折弯成形回弹预测及凸模几何参数反求[J].华中科技大学学报（自然科学版）,2009,37(11):86-89,4.基金项目
国家自然科学基金资助项目(50875093/E050802) （50875093/E050802）
三一重工科技创新基金资助项目(QZJX1862007). （QZJX1862007）
