Vibration analysis of the axle bearings considering the combined errors for a high-speed train

被引:19
作者
Liu Jing [1 ,2 ]
Li Xinbin [1 ]
Yu Wennian [1 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing, Peoples R China
[2] Chongqing Univ, Coll Mech Engn, 174 Shazhengjie, Chongqing 400030, Peoples R China
基金
中国国家自然科学基金;
关键词
High-speed train; axle bearing; combined errors; dynamic model; vibrations; ROLLING-ELEMENT BEARINGS; BALL-BEARINGS; LOCALIZED DEFECT; MODEL; TRACK; PROPAGATION; ROUNDNESS; WAVINESS; VEHICLE; SYSTEM;
D O I
10.1177/1464419320917235
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Axle bearings are critical elements of high-speed trains. Although the quality and precision of axle bearings have been significantly improved, the manufacturing errors, such as the roundness and waviness errors, cannot be eliminated during their manufacturing processes. The axle bearings with the roundness and waviness errors have great influences on vibration performances of the high-speed trains. To obtain an in-depth understanding of the vibrations caused by the axle bearing with the combined errors considering both the roundness and waviness errors. This work conducts an improved analytical model for a high-speed train considering the axle bearings with the combined errors, which cannot be formulated by the previous train model considering single roundness or waviness errors. The combined errors are defined to include both the roundness and waviness errors. A new multiple cosine function is presented to model the combined errors. The time-depended force excitations produced by the combined errors are also considered in the dynamic model. A track irregularities model is utilized to formulate the road spectrum displacement excitations from the rail and roadbed. The influences of the error amplitude and order on the vibrations of high-speed train are analyzed. The results for the single roundness error model, single waviness error model, and combined errors model are compared to represent the superiority of proposed model. It depicts that this work can provide a more reasonable analytical method for understanding the vibrations of high-speed train considering the axle bearings with the combined manufacturing errors compared to the reported single error models.
引用
收藏
页码:481 / 497
页数:17
相关论文
共 49 条
[1]  
[Anonymous], 2008, THESIS
[2]   Vibration Modeling of a Rigid Rotor Supported on the Lubricated Angular Contact Ball Bearings Considering Six Degrees of Freedom and Waviness on Balls and Races [J].
Babu, C. K. ;
Tandon, N. ;
Pandey, R. K. .
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2012, 134 (01)
[3]   Numerical evaluation of the mid-span assumption in the calculation of total load effects in railway bridges [J].
Cantero, Daniel ;
Karoumi, Raid .
ENGINEERING STRUCTURES, 2016, 107 :1-8
[4]   Effects of raceway roundness and roller diameter errors on clearance and runout of a cylindrical roller bearing [J].
Chen, Guanci ;
Wang, Baokun ;
Mao, Fanhai .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY, 2013, 227 (J3) :275-285
[5]   Vibration feature evolution of locomotive with tooth root crack propagation of gear transmission system [J].
Chen, Zaigang ;
Zhai, Wanming ;
Wang, Kaiyun .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 115 :29-44
[6]   Locomotive dynamic performance under traction/braking conditions considering effect of gear transmissions [J].
Chen, Zaigang ;
Zhai, Wanming ;
Wang, Kaiyun .
VEHICLE SYSTEM DYNAMICS, 2018, 56 (07) :1097-1117
[7]   Improved analytical methods for calculation of gear tooth fillet-foundation stiffness with tooth root crack [J].
Chen, Zaigang ;
Zhang, Jie ;
Zhai, Wanming ;
Wang, Yawen ;
Liu, Jianxin .
ENGINEERING FAILURE ANALYSIS, 2017, 82 :72-81
[8]   Dynamic investigation of a locomotive with effect of gear transmissions under tractive conditions [J].
Chen, Zaigang ;
Zhai, Wanming ;
Wang, Kaiyun .
JOURNAL OF SOUND AND VIBRATION, 2017, 408 :220-233
[9]   A locomotive-track coupled vertical dynamics model with gear transmissions [J].
Chen, Zaigang ;
Zhai, Wanming ;
Wang, Kaiyun .
VEHICLE SYSTEM DYNAMICS, 2017, 55 (02) :244-267
[10]   Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals: Comparison of FFT, CWT, and DWT features [J].
Choe, HC ;
Wan, YL ;
Chan, AK .
WAVELET APPLICATIONS IV, 1997, 3078 :480-496