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摘要：
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采用BP算法的人工神经网络系统, 以激光能量、光斑大小、扫描速度、矩形板料的厚度和宽度作为输入层节点, 预测板料激光成形的温度峰值和弯曲角度, 并将该系统用于 08F薄钢板激光弯曲成形的工艺参数优化之中, 可以快速获得最大成形角度所对应的最优工艺参数组合。
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BP based ANN system is used to predict the bending angle and maximum temperature of metal sheet during laser forming Inputs to this system are as follows: laser power, spot diameter, scan speed, thickness and width of the sheet This system is also used as the numerical solver in process optimization, the results show that it can be applied to optimal design of process variables in laser forming of 08F sheet
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基金项目：
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山东省优秀中青年科学家奖励基金资助 (01BS41)
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作者简介：
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参考文献：
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[1] 罗仁平,彭颖红,张永清金属成形过程优化设计的关键问题[J]模具技术1999,(3):8488
[2] 季忠板料激光成形数值模拟及工艺优化[D][博士后研究报告],山东大学,2001
[3] ChengP J,LinS C Using neural networks to predict bending an gle of sheet metal formed by laser[J]InternationalJournal ofMachineTools&Manufacture,2000,40(8):11851197
[4] 季忠、王忠雷、焦学键板料激光弯曲成形工艺参数优化设计[J]锻压技术,2002,27(6):3841
[5] 季忠,刘韧,王忠雷,等基于遗传算法的板料激光弯曲成形工艺优化设计[J]锻压装备与制造技术,2003,38(5):7982
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