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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。
For the first time, artificial neural network technology was used to analyze the parameters of lubricating oil which affect the friction coefficient under the flange during drawing process. The neural network modeling process was described and the lubricating oil selection scheme was proposed. Neural network prediction results in line with the actual good.