人工神经网络在拉深润滑油选择中的应用  

Application of Artificial Neural Network in the Selection of Lubricants in Sheet Metal Drawing

作　　者：吕冬[1] 武雪萍 何丹农[1] 张永清[1] 程惊雷[2] 蒋镜昱[2] 

机构地区：[1]上海交通大学国家模具CAD工程研究中心,上海200030 [2]上海大众汽车有限公司,上海201805

出　　处：《模具技术》2000年第2期68-71,共4页Die and Mould Technology

摘　　要：首次利用人工神经网络技术对影响拉深过程中法兰下摩擦系数的工艺参数润滑油参数进行了分析 ,描述了神经网络建模过程并提出了润滑油选择方案。神经网络预测计算结果与实际符合较好。A model of artificial neural network is constructed to predict the average coefficient of friction under flange during drawing by taking into consideration both the principal technological parameters and several parameters of lubricant at the same time. Then selections are made to choose proper lubricant under certain operating condition according to the predicted results. The predicted results show good agreement with experimental data.

关 键 词：人工神经网络 拉深 摩擦系数 润滑油 

分 类 号：TG304[金属学及工艺—金属压力加工]