Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

Yuqing Liu, Zaigang Chen, Wei Li, Kaiyun Wang

Railway Engineering Science ›› 2021, Vol. 29 ›› Issue (4) : 379-393.

Railway Engineering Science ›› 2021, Vol. 29 ›› Issue (4) : 379-393. DOI: 10.1007/s40534-021-00246-x
Article

Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing

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Abstract

The traction motor is the power source of the locomotive. If the surface waviness occurs on the races of the motor bearing, it will cause abnormal vibration and noise, accelerate fatigue and wear, and seriously affect the stability and safety of the traction power transmission. In this paper, an excitation model coupling the time-varying displacement and contact stiffness excitations is adopted to investigate the effect of the surface waviness of the motor bearing on the traction motor under the excitation from the locomotive-track coupled system. The detailed mechanical power transmission path and the internal/external excitations (e.g., wheel–rail interaction, gear mesh, and internal interactions of the rolling bearing) of the locomotive are comprehensively considered to provide accurate dynamic loads for the traction motor. Effects of the wavenumber and amplitude of the surface waviness on the traction motor and its neighbor components of the locomotive are investigated. The results indicate that controlling the amplitude of the waviness and avoiding the wavenumber being an integer multiple of the number of the rollers are helpful for reducing the abnormal vibration and noise of the traction motor.

Keywords

Rolling bearing / Traction motor / Waviness / Vibration responses / Vehicle–track coupled dynamics

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Yuqing Liu, Zaigang Chen, Wei Li, Kaiyun Wang. Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing. Railway Engineering Science, 2021, 29(4): 379‒393 https://doi.org/10.1007/s40534-021-00246-x

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Funding
National Natural Science Foundation of China(51735012)

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