Dynamic responses of the high-speed train with polygonal wheels considering gear transmissions

To examine the influence of polygonal wheels on the dynamic responses of high-speed train, a vehicle-track dynamics model was developed. This model incorporated gear transmissions using multibody dynamics methodology and gear dynamics theory. The effect of gear transmissions on the dynamic responses of the high-speed train was evaluated by comparing the results of the developed model with those of a non-geared traditional model. The dynamic responses of the train were studied by examining the combined effects of wheel polygonal excitation and time-varying mesh stiffness excitation. The results indicated that the vertical wheel-rail contact force and vibration amplitude of the model with polygonal wheels were larger than those of the normal model. Similarly, the geared transmission model exhibited greater contact force and vibration amplitude compared to the non-geared transmission model, attributed to the increased excitation. The evolution of the wheel polygon’s order and wear depth could significantly increase the vertical wheel-rail contact force and the wheel load reduction rate. The safety limits for wheel polygon order and wear depth were established. The model with gear transmissions is more closely aligned with the actual situation and exhibits higher safety performance, providing valuable reference for wheel turning.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2024-10-23
DOI
https://doi.org/10.1177/09544062241288934
Citations
3
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.64
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article

Dynamic responses of the high-speed train with polygonal wheels considering gear transmissions

Fuhao Liu, Baogang Li, Yang Dai, H. Jiang
3 citations
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Railway Engineering and Dynamics
0.64
article

Dynamic responses of the high-speed train with polygonal wheels considering gear transmissions

Fuhao Liu, Baogang Li, Yang Dai, H. Jiang
article en
3 citations

Abstract

To examine the influence of polygonal wheels on the dynamic responses of high-speed train, a vehicle-track dynamics model was developed. This model incorporated gear transmissions using multibody dynamics methodology and gear dynamics theory. The effect of gear transmissions on the dynamic responses of the high-speed train was evaluated by comparing the results of the developed model with those of a non-geared traditional model. The dynamic responses of the train were studied by examining the combined effects of wheel polygonal excitation and time-varying mesh stiffness excitation. The results indicated that the vertical wheel-rail contact force and vibration amplitude of the model with polygonal wheels were larger than those of the normal model. Similarly, the geared transmission model exhibited greater contact force and vibration amplitude compared to the non-geared transmission model, attributed to the increased excitation. The evolution of the wheel polygon’s order and wear depth could significantly increase the vertical wheel-rail contact force and the wheel load reduction rate. The safety limits for wheel polygon order and wear depth were established. The model with gear transmissions is more closely aligned with the actual situation and exhibits higher safety performance, providing valuable reference for wheel turning.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(3)
Qingdao University of Technology (CN), Southwest Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 35%
Railway Engineering and Dynamics
0.64
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Dynamic responses of the high-speed train with polygonal wheels considering gear transmissions — Fuhao Liu, Baogang Li, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) | TGRS Research Map | TGRS