Second International Conference on Rail Transportation
Dynamic Investigation of Motor Bearing in a Locomotive under Excitation from High-Order Wheel Polygonization
Publication: ICRT 2021
ABSTRACT
Bearing is a basic component of the rotational mechanical system and its dynamic performance has a direct effect on the stability and reliability of the mechanical product, such as the railway locomotive. The wheel polygonization is a common wear of a locomotive in the running process. The more drastic vibration environment of the locomotive due to the intensified wheel-rail interaction will make the working condition of the motor bearing more complicated which is likely to cause bearing failures, such as pitting corrosion, spalling, plastic deformation, and cage fracture. In this paper, a locomotive-track coupled dynamics model with traction motor, axle box bearing, and gear transmissions is established where the bearing subsystem supporting the motor rotor and the pinion gear is considered in detailed so that the skidding characteristics, the nonlinear contact forces between the components of the bearing and the corresponding friction forces are included. The results indicate that the intense wheel-rail interaction caused by the high-order wheel polygonization will affect the dynamic characteristics of the motor bearing significantly. Furthermore, this model can assess the skidding phenomenon of the motor bearing under vehicle vibration of a locomotive effectively.
Get full access to this article
View all available purchase options and get full access to this chapter.
ACKNOWLEDGMENTS
This work was supported by the National Natural Science Foundation of China [grant numbers 51775453, 51735012, 52022083].
REFERENCES
1.
Nandi, S, Toliyat, H A, Li, X. Condition monitoring and fault diagnosis of electrical motors—A review. IEEE transactions on energy conversion, 2005, 20(4): 719–729.
2.
A B Jones. A general theory for elastically constrained ball and radial roller bearings under arbitrary load and speed conditions. ASME Trans. 82(1960) 309–320.
3.
T A Harris. An analytical method to predict skidding in high speed roller bearings. Asle Transactions, 1966, 9(3), 229–241.
4.
M Nakhaeinejad, Bryant. Dynamic modeling of rolling element bearings with surface contact defects using bond graphs. Journal of Tribology, 2011, 133(1): 011102.
5.
J Liu, Z Shi, Y Shao. An analytical model to predict vibrations of a cylindrical roller bearing with a localized surface defect. Nonlinear Dynamics, 2017, 89(3), 2085–2102.
6.
Z Chen, W Zhai, K Wang. A locomotive-track coupled vertical dynamics model with gear transmissions. Vehicle System Dynamics, 2017, 55(2): 244–267.
7.
Z Chen, W Zhai, K Wang. Dynamic investigation of a locomotive with effect of gear transmissions under tractive conditions. Journal of Sound and Vibration, 2017, 408: 220–233.
8.
Z Chen, Z Zhou, W Zhai et al., Improved analytical calculation model of spur gear mesh excitations with tooth profile deviations[J]. Mechanism and Machine Theory, 2020, 149: 103838.
9.
T Zhang, Z Chen, W Zhai et al., Establishment and validation of a locomotive-track coupled spatial dynamics model considering dynamic effect of gear transmissions. Mechanical Systems and Signal Processing, 2019, 119: 328–345.
10.
Z Wang, W Zhang, Z Yin et al., Effect of vehicle vibration environment of high-speed train on dynamic performance of axle box bearing. Vehicle System Dynamics, 2019, 57(4): 543–563.
11.
C He, Z Chen, W Zhai et al., A spatial dynamics model for heavy-haul electric locomotives considering the dynamic coupling effect of gear transmissions. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2019: 0954409718823138.
12.
J Jiang, Z Chen, W Zhai et al., Vibration Characteristics of Railway Locomotive Induced by Gear Tooth Root Crack Fault under Transient Conditions. Engineering Failure Analysis, 2019: 104285.
13.
JCO Nielsen, R Lundén, A Johanssonet al., Train-track interaction and mechanisms of irregular wear on wheel and rail surfaces[J]. Vehicle System Dynamics, 2003, 40(1–3): 3–54.
14.
A Johansson, C Andersson. Out-of-round railway wheels—a study of wheel polygonalization through simulation of three-dimensional wheel-rail interaction and wear[J]. Vehicle System Dynamics, 2005, 43(8): 539–559.
15.
Z Wang, P Allen, G Meiet al., Influence of wheel-polygonal wear on the dynamic forces within the axle-box bearing of a high-speed train[J]. Vehicle System Dynamics, 2019: 1–22.
16.
W Zhai, Z Cai. Dynamic interaction between a lumped mass vehicle and a discretely supported continuous rail track. Computers & structures, 1997, 63(5): 987–997.
17.
Dormand, J R, Prince, P J. A family of embedded Runge-Kutta formulae[J]. Journal of computational and applied mathematics, 1980, 6(1): 19–26.
Information & Authors
Information
Published In
ICRT 2021
Pages: 285 - 292
Editors: Wanming Zhai, Ph.D., Southwest Jiaotong University, Kelvin C. P. Wang, Ph.D., Oklahoma State University, and Shengyang Zhu, Ph.D., Southwest Jiaotong University
ISBN (Online): 978-0-7844-8388-6
Copyright
© 2022 American Society of Civil Engineers.
History
Published online: Feb 8, 2022
Published in print: Feb 8, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.