轴向力随动下角接触球轴承的温度分析
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摘要
针对角接触球轴承的温度监控及测温滞后问题,首先,通过轴承的受载试验,测试了不同工况下角接触球轴承的内外圈温度,并用数值仿真验证试验测得数据的可靠性;其次,基于BP神经网络建立了轴向力随动下角接触球轴承的温度预测模型,并证明了该温度预测模型具有较强的泛化能力;温度预测结果表明预测值与试验所测值的绝对误差小。最后,研究分析了转速、润滑油的温度等因素对轴向力随动下角接触球轴承的温升影响。为掌握轴承运行状态,优化轴承结构,提高轴承的性能提供参考。
Aimed at the key issue of temperature monitoring and delay of measurement temperature for the angular contact ball bearings, first of all, through the bearing test, the inner and outer ring temperature of the angular contact ball bearing under different working conditions was tested, and the reliability of the measured data was verified by numerical simulation. Furthermore, based on the BP neural network, the temperature prediction model of contact ball bearing was established, and the results were proved that the temperature prediction model has strong generalization ability. The temperature prediction results show that the absolute error of the predicted value and the measured value is small. Last but not the least, the influence of rotational speed and lubricating oil temperature on the temperature rise of the angular contact ball bearings was studied and analyzed. It provides reference for mastering bearing running state, optimizing bearing structure and improving bearing performance.
Aimed at the key issue of temperature monitoring and delay of measurement temperature for the angular contact ball bearings, first of all, through the bearing test, the inner and outer ring temperature of the angular contact ball bearing under different working conditions was tested, and the reliability of the measured data was verified by numerical simulation. Furthermore, based on the BP neural network, the temperature prediction model of contact ball bearing was established, and the results were proved that the temperature prediction model has strong generalization ability. The temperature prediction results show that the absolute error of the predicted value and the measured value is small. Last but not the least, the influence of rotational speed and lubricating oil temperature on the temperature rise of the angular contact ball bearings was studied and analyzed. It provides reference for mastering bearing running state, optimizing bearing structure and improving bearing performance.
引文
[1] 李会兵.基于BP神经网络的温度预测方法[J].电子测试,2013(19) :62-64.
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[3] 王国荣,张敏,胡刚,等.基于灰色神经网络的旋转控制头深沟球轴承温度预测[J].机械强度,2016,38(1):12-16.
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[9] 刘晓卫,王崴,王庆力.基于ANSYS的高速角接触球轴承温度场分析[J].组合机床与自动化加工技术,2015(3):13-15.
[10] WANG Yanshuang,ZHU Haifeng.Temperature Field Analysis of Bearing[J].Key Engineering Materials,2011,480-481:974-979.
[11] YE Zhenhuan,WANG Liqin,CHEN Guanci,et al.Analysis of Thermo-Mechanical Coupling of High-Speed Angular-Contact Ball Bearings[J].Advances in Mechanical Engineering,2017,9(6):1-14.
[12] BIAN Wei,WANG Zhenhua,YUAN Juntang,et al.Thermo-Mechanical Analysis of Angular Contact Ball Bearing[J].Journal of Mechanical Science & Technology,2016,30(1):297-306.
[13] 邓四二,贾群议,薛进学.滚动轴承设计原理[M].北京:中国标准出版社,2014.
[14] 谢庆生,尹健,罗延科.机械工程中的神经网络方法[M].北京:机械工业出版社,2003.
[2] 莫丽,王军,王俊,等.基于GA—BP算法的旋转控制头轴承温度预测[J].西南石油大学学报(自然科学版),2016,38(1):164-169.
[3] 王国荣,张敏,胡刚,等.基于灰色神经网络的旋转控制头深沟球轴承温度预测[J].机械强度,2016,38(1):12-16.
[4] 孙利辉,王志刚.推力轴承油膜瞬态温度的ARIMA模型预测[J].系统仿真学报,2002,14(4):516-518.
[5] 廖敏,王新新.高速电主轴轴承温度预测与温升影响因素分析[J].西华大学学报(自然科学版),2013,32(1):88-92.
[6] 王新新.高速电主轴的热—结构分析及温度预测研究[D].成都:西华大学,2012.
[7] 梁群,刘晓玲,杜肖.角接触球轴承的温度场分析[J].润滑与密封,2015(12):37-41.
[8] 俞锋,李松生,邵娟,等.高速角接触球轴承生热分析及温度场研究[J].工业控制计算机,2015(8):120-121.
[9] 刘晓卫,王崴,王庆力.基于ANSYS的高速角接触球轴承温度场分析[J].组合机床与自动化加工技术,2015(3):13-15.
[10] WANG Yanshuang,ZHU Haifeng.Temperature Field Analysis of Bearing[J].Key Engineering Materials,2011,480-481:974-979.
[11] YE Zhenhuan,WANG Liqin,CHEN Guanci,et al.Analysis of Thermo-Mechanical Coupling of High-Speed Angular-Contact Ball Bearings[J].Advances in Mechanical Engineering,2017,9(6):1-14.
[12] BIAN Wei,WANG Zhenhua,YUAN Juntang,et al.Thermo-Mechanical Analysis of Angular Contact Ball Bearing[J].Journal of Mechanical Science & Technology,2016,30(1):297-306.
[13] 邓四二,贾群议,薛进学.滚动轴承设计原理[M].北京:中国标准出版社,2014.
[14] 谢庆生,尹健,罗延科.机械工程中的神经网络方法[M].北京:机械工业出版社,2003.