锻压技术

离合器毂侧壁滚打成形缺口长度数值模拟实验及神经网络模型预测

英文标题：Numerical simulation test and neural network model prediction on roll-beating notch length for clutch hub side wall

作者：刘健1 2 侯玉秋1 薛锐3 胡占雄3 安法金1 赵恒1 王晓亮2

单位：1.天津工业大学机械工程学院 2.天津工业大学工程教学实习训练中心 3.天津市天海同步科技有限公司

关键词：离合器毂滚打成形压下量缺口长度预测模型

分类号：TG335

出版年,卷(期):页码：2023,48(11):104-114

摘要：

针对离合器毂侧壁滚打成形工艺，为解决成形结束后侧壁末端产生缺口的问题，分析了缺口产生的原因，确定了影响因素，并通过控制单因素变量法进行了数值模拟实验，得到了能够产生最小缺口长度的工艺条件。以工艺条件为自变量、缺口长度为因变量，建立了BP神经网络缺口长度预测模型。经检验，缺口长度预测模型的误差为3.2％，证明模型具有可靠性。最后，通过实验验证了缺口数值模拟模型的准确性。模型的建立对于指导离合器毂制造工艺、降低生产成本具有重要的意义。

For the roll-beating process of clutch hub side wall, in order to solve the problem of notch produced in the end of side wall after forming, the causes of notch were analyzed, and the influencing factors were determined. Then, the numerical simulation tests were carried out by controlling single factor variable method, and the process conditions that generated the minimum notch length were obtained. Furthermore, taking the process condition as independent variable and the notch length as dependent variable, the notch length prediction model of BP neural network was established, and after testing, the error of the notch length prediction model was 3.2%, which proved the reliability of the model. Finally, the accuracy of the notch numerical simulation model was verified by tests. Thus, the establishment of the model is of great significance to guide the manufacturing process of clutch hub and reduce the production cost.

基金项目：

教育部高等学校工程训练教学指导委员会教育科学研究项目（JJ-GX-JY202134）

作者简介：刘健（1985-），男，工学博士，高级实验师，E-mail：liujian3286@126.com；通信作者：胡占雄（1987-），男，学士，工程师，E-mail：huzhanxiong@tanhas.com

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