圆柱滚子轴承磨损失效的ADAMS仿真及实验

摘要/Abstract

摘要：

针对滚子轴承磨损失效易导致系统性能恶化的问题，以轴承NJ204为研究对象，通过对轴-轴承-基座为整体建立模型，对不同程度的磨损失效轴承进行了仿真分析，揭示了轴承的失效过程，得到了失效故障特征值，并进行了实验验证。仿真和实验结果都表明基座振动信号频谱集中度能反映轴承磨损失效的程度，其值随轴承间隙的增大而增大。

关键词: 滚动轴承, 磨损失效, 频谱集中度; , 间隙

Abstract:

The wear failure of cylindrical roller bearings can easily cause deterioration of the system. A model of bearings-shaft-base was made on the basis of bearing NJ204. The simulation of varying degrees of wear failure was analysized to reveal the failure process. The failure eigenvalue was obtained finally and verified experimentally.The results of simulations and experiments show that the spectrum concentration of the vibration signals can reflect the degree of bearing wear failure.

Key words: roller bearing; , wear failure, concentration of spectrum; , clearance

中图分类号:

TH133.33

姚建雄, 谭建平, 杨斌. 圆柱滚子轴承磨损失效的ADAMS仿真及实验[J]. 中国机械工程, 2014, 25(17): 2327-2330,2343.

Yao Jianxiong, Tan Jianping, Yang Bin. Kinetic Simulation on ADAMS and Experimental Study of Wear Failure of Cylindrical Roller Bearings[J]. China Mechanical Engineering, 2014, 25(17): 2327-2330,2343.

参考文献

[1]从飞云，陈进，董广明．基于谱峭度和AR模型的滚动轴承故障诊断[J]．振动、测试与诊断,2012,32(4):39-54.
Cong Feiyun,Chen Jin, Dong Guangming. Spectral Kurtosis and AR Model Based Method for Fault Diagnosis of Roll Ing Bearings[J]. Journal of Vibration,Measurement & Diagnosis,2012,32(4):39-54.
[2]蒋玲莉，刘义伦，李学军，等．EMD模糊聚类法及在滚动轴承故障诊断中的应用[J]．机械强度,2011,33(5):650-654.
Jiang Lingli, Liu Yilun, Li Xuejun, et al. Fult Diagnosis of Rolier Beating Based on EMD and Fuzzy Cluster[J]. Journal of Mechanical Strength,2011,33(5):650-654.
[3]易挺，梁楚华，朱圆圆．基于倒频谱技术的滚动轴承故障诊断[J]．机床与液压,2009,37(9):272-274.
Yi Ting, L Iang Chuhua, Zhu Yuanyuan. Fault Dagnosis Detection of Roller Bearing Based on Cepstrum Technology[J]. Machine Tool & Hydraullics,2009,37(9):272-274.
[4]张宪文．滑动轴承承载能力的理论研究和实验分析[D]．成都：西南交通大学，2011.
[5]徐淑萍，马金明．圆柱滚子轴承游隙与寿命关系[J]．沈阳理工大学学报,2011,30(4):43-47.
Xu Shuping,Ma Jinming. Cylindrical Roller Bearings Clearance and Bearing Service Life[J]. Journal of Shenyang Ligong University,2011,30(4):43-47.
[6]Kabus S，Hansen M R，Mouritsen O O．A New Quasi-static Cylindrical Roller Bearing Model to Accurately Consider Non-Hertzian Contact Pressure in Time Domain Simulations[J]．J. Tribol.,2012，134(4):041401.
[7]崔立，郑建荣．考虑刚性转子非线性振动的圆柱滚子轴承动态特性研究[J]．振动与冲击,2010，29(10): 113-117.
Cui Li，Zheng Jianrong. Dynamic Characteristics of Cylindrical Roller Bearings Considering Nonlinear Vibration of a Rigid Rotor System[J]. Journal of Sound and Vibration,2010,29(10):113-117.
[8]杜辉，周彦伟，邓四二，等．高速圆柱滚子轴承零件间相互作用力瞬态动力学分析[J]．轴承,2005(9):9-12.
Du Hui,Zhou Yanwei, Deng Sier,et al. Transient Dynamics Analysis on Interaction between Components of High Speed Cylindrical Roller Bearings[J]. Journal of Bearing,2005(9):9-12.
[9]黄中华，谢雅．基于Hilbert变换的滚动轴承内环和外环故障诊断[J]．中南大学学报(自然科学版),2011,42(7):1992-1996.
Huang Zhonghua, Xie Ya. Fault Diagnosis of Roller Bearing with Inner and External Fault Based on Hilbert Transformation[J]. Journal of Central South University (Science and Technology),2011,42(7):1992-1996.
[10]张亿雄，顾海明．Hilbert变换在滚动轴承故障诊断中的应用[J]．煤矿机械,2008,29(12):212-214.
Zhang Yixiong, Gu Haiming. Application of Hilbert Transformation in Rolling Bearing Fault Diagnosis[J]. Coal Mine Machinery,2008,29(12):212-214.

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