摘要
湿式离合器损伤失效是制约传动系统可靠性提升的主要因素。为获取湿式离合器损伤特征的临界损伤阈值,开展湿式离合器摩擦磨损台架试验。以表面粗糙度变化率、Fe和Cu元素浓度变化率、临界磨损率为研究对象,建立基于PSO-BP神经网络算法的湿式离合器损伤阈值模型。结果表明:阈值模型的预测结果与实测值的相对误差绝对平均值为5.74%,阈值模型的预测结果贴近实测值;Cu元素浓度变化率比Fe元素浓度变化率大一个数量级,摩擦元件的磨损主要是摩擦片表面镀铜层的磨损;多磨损特征参数随油压与转速增大而呈非线性增大,且多磨损特征参数对油压的变化更加敏感。
The damage and failure of wet clutch is the main factor restricting the reliability improvement of transmission system.In order to obtain the critical damage threshold of damage characteristics of wet clutch,the friction and wear bench test of wet clutch was carried out.Taking the change rate of surface roughness,the change rate of Fe and Cu concentration,the critical wear rate as the research objects,a damage threshold model of wet clutch based on PSO-BP neural network algorithm was established.The results show that the absolute average value of the relative error between the prediction result of the threshold model and the measured value is 5.74%,and the prediction result of the threshold model is close to the measured value.The change rate of Cu concentration is one order of magnitude larger than that of Fe concentration.The wear of friction elements is mainly the wear of the copper coating on the friction plate surface.The multi wear characteristic parameters increase nonlinearly with the increase of oil pressure and speed,and the multi wear characteristic parameters are more sensitive to the change of oil pressure.
作者
舒越超
李乐
吴健鹏
季文龙
侯锐
王成
SHU Yuechao;LI Le;WU Jianpeng;JI Wenlong;HOU Rui;WANG Cheng(School of Electoral and Mechanical Engineering,Key Laboratory of Modern Measurement and Control Technology of Ministry of Education,Beijing Information Science and Technology University,Beijing 100192,China)
出处
《润滑与密封》
CAS
CSCD
北大核心
2022年第9期152-159,共8页
Lubrication Engineering
基金
国家自然科学基金项目(52175074
52105084)。
