Research on Acoustic Emission Detection Mechanism of Axle BoxBearing State of EMU

doi:10.3901/JME.2021.12.153

Abstract

Abstract: Acoustic emission(AE) technology can be used for condition monitoring and fault diagnosis of axle box bearings of electric multiple units(EMU) because of its high-frequency and high-sensitivity sensing capabilities. However, there is still a lack of mechanism research between bearing status and acoustic emission signals. In this paper, a contact model for the rough surface of the bearing was developed by applying Hertz contact theory based on the assumption of a random distribution of asperities, with the axle box bearings of EMU as the object of study; the elasticity theory is used to carry out the elastic deformation analysis of the bearing interference asperity under load; combined with the elastohydrodynamic theory, and the rough contact surface deformation energy equation between the rolling element and the inner and outer rings was established under lubrication conditions; the relationship between the deformation energy of bearing and the root mean square is obtained by analyzing the elastic wave characteristics of AE signal in contact state of bearing, which is the mechanism of AE detection. Taking the outer ring failure of a typical double-row tapered roller bearing as a research example, the comparison between theoretical analysis and experimental results verifies the correctness of the mechanism analysis and provides theoretical support for the application of acoustic emission sensing in bearing state detection.

Key words: axle box bearing, acoustic emission, rough surface, detection mechanism

CLC Number:

U266
TH17

LI Defa, QI Hongyuan, HOU Dongming, KONG Fanshuang, HONG Miao, HAN Defu. Research on Acoustic Emission Detection Mechanism of Axle BoxBearing State of EMU[J]. Journal of Mechanical Engineering, 2021, 57(12): 153-160.

References

[1] 陈光东. 高速列车轴箱轴承动态特性及故障研究[D]. 大连:大连交通大学, 2015. CHEN Guangdong. Research on dynamic characteristics and fault analysis of the axle box roller bearing used in high-speed railway[D]. Dalian:Dalian Jiaotong University, 2015.
[2] 郝如江, 卢文秀, 褚福磊. 声发射检测技术用于滚动轴承故障诊断的研究综述[J]. 振动与冲击, 2008, 27(3):75-79. HAO Rujiang, LU Wenxiu, CHU Fulei. A review of research on the application of acoustic emission detection technology in fault diagnosis of rolling bearing[J]. Vibration and Shock, 2008, 27(3):75-79.
[3] AL-DOSSARY S, HAMZAH R, MBA D. Observations of changes in acoustic emission waveform for varying seeded defect sizes in a rolling element bearing[J]. Applied Acoustics, 2009, 70(1):58-81.
[4] 廖传军, 李学军, 刘德顺. 小波再分配尺度谱在声发射信号特征提取中的应用[J]. 机械工程学报, 2009, 45(2):273-279. LIAO Chuanjun, LI Xuejun, LIU Deshun. Application of reassigned wavelet scalogram in feature extraction based on acoustic emission signal[J]. Journal of Mechanical Engineering, 2009, 45(2):273-279.
[5] 李学军, 廖传军, 褚福磊. 适于声发射信号故障特征提取的小波函数[J]. 机械工程学报, 2008, 44(3):177-181. LI Xuejun, LIAO Chuanjun, ZHU Fulei. Wavelet function suitable for fault feature extraction of acoustic emission signal[J]. Chinese Journal of Mechanical Engineering, 2008, 44(3):177-181.
[6] 陈小龙, 周俊鹏, 张颖, 等. 基于声发射波形流信号的滚动轴承故障双谱分析及诊断[J]. 辽宁石油化工大学学报, 2018, 38(3):89-92. CHEN Xiaolong, ZHOU Junpeng, ZHANG Ying, et al. Fault test and diagnosis of rolling bearing based on acoustic emission waveform streaming signals[J]. Journal of Liaoning University of Petroleum and Chemical Technology, 2018, 38(3):89-92.
[7] 张艾萍, 孙伟, 叶荣学. 汽轮发电机组轴承运行状态声发射监测研究[J]. 汽轮机技术, 1998, 40(2):29-32. ZHANG Aiping, SUN Wei, YE Rongxue. Research on acoustic emission detection of bearing operation state of Turbogenerator[J]. Turbine Technology, 1998, 40(2):29-32.
[8] SUN J, WOOD R, WANG L, et al. Wear monitoring of bearing steelusing electrostatic and acoustic emission techniques[J]. Wear, 2005, 259(7-12):1482-1489.
[9] Al-GHAMD A M, MBA D. Bearing defect diagnosis and acoustic emission[J]. Journal of Engineering Tribology, 2003, 217(4):257-272.
[10] Al-GHAMD A M, MBA D. A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size[J]. Mechanical Systems and Signal Process, 2006, 20(7):1537-1571.
[11] BARANOV V M, KUDRYAVTSEV E M, SARYCHEV G A. Modelling of parameters of acoustic emission under sliding friction of solids[J]. Wear, 1997, 202(2):125-133.
[12] SHARMA R, PAREY A. Modelling of acoustic emission generated in rolling element bearing[J]. Applied Acoustics, 2019, 144(1):96-112.
[13] 李强, 雒建斌. 接触力学与摩擦学的原理及其应用[M]. 北京:清华大学出版社, 2019. LI Qiang, LUO Jianbin. Principles and applications of contact mechanics and tribology[M]. Beijing:Tsinghua University Press, 2019.
[14] MAUGIS D. Contact, adhesionand rupture of elastic solid[M]. New York:Springer, 2000.
[15] 张乐宜. 高速铁路客车圆锥滚子轴承凸度及动态性能分析[D]. 洛阳:河南科技大学, 2013. ZHANG Leyi. Analysis on conyexity and dynamic performance of tapered roller bearing for high speed railway coach[D]. Luoyang:Henan University of Science and Technology, 2013.
[16] 梁贵林, 文绪明, 张玉辉, 等. 圆锥滚子轴承内圈挡边与滚子球基面接触分析[J]. 哈尔滨轴承, 2019, 40(1):3-5, 9. LIANG Guilin, WEN Xuming, ZHANG Yuhui, et al. Contact analysis between inner ring rib and roller spherical surface of tapered roller bearing[J]. Harbin Bearing, 2019, 40(1):3-5, 9.
[17] MIETTINEN J, ANDERSSON P. Acoustic emission of rolling bearings lubricated with contaminated grease[J]. Tribology International, 2000, 33(11):777-787.
[18] JOHNSON K L, GREENWOOD J A, POONA S Y. A simple theory of asperity contact in elastohydrodynamic lubrication[J]. Wear, 1972, 19(1):91-108.
[19] SEIREG A. Friction and lubrication in mechanical design[M]. New York:Marcel Dekker Inc., 1998.
[20] FAN Y, GU F, BALL A. Modelling acoustic emissions generated by sliding friction[J]. Wear, 2010, 268(5-6):811-815.