On the formation mechanism of subway wheel polygons based on wheel-rail stick-slip characteristics

Purpose This study, based on long-term tracking tests of wheel polygon in subway vehicles, aims to reveal the formation mechanism of the eighth-order wheel polygon. Design/methodology/approach This study develops vehicle-track system rigid-flexible coupled dynamics model and wheel-rail contact model. By examining stick-slip vibrations at the wheel-rail interface, this paper reveals the formation mechanism of wheel polygons on the test vehicle. In addition, a method is proposed to quantify wheel-rail stick-slip vibration intensity using the coefficient of variation, which allows for the evaluation of how track conditions influence wheel-rail stick-slip characteristics. Findings Results show that small-radius curves trigger wheel-rail stick-slip vibration, exciting the wheelset torsional mode and causing eighth-order polygonal wear. Track irregularities amplify vibration intensity in the inner wheel, resulting in higher levels of polygonal roughness. Originality/value Through the integration of field measurements and numerical simulations, the intrinsic relationship between wheel-rail interface stick-slip characteristics and the formation of wheel polygon is revealed. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2025-0013/

Authors

Institutions

Publication Details

Journal
Industrial Lubrication and Tribology
Published
2025-04-15
DOI
https://doi.org/10.1108/ilt-01-2025-0013
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the formation mechanism of subway wheel polygons based on wheel-rail stick-slip characteristics

Yuejian Chen, Li Li, Zheng Li, Xinyuan Yu et al.
Industrial Lubrication and Tribology
Railway Engineering and Dynamics
article

On the formation mechanism of subway wheel polygons based on wheel-rail stick-slip characteristics

Yuejian Chen, Li Li, Zheng Li, Xinyuan Yu, Yunfei Zhang, Hongxiao Li, Xiaohan Gu
article en

Abstract

Purpose This study, based on long-term tracking tests of wheel polygon in subway vehicles, aims to reveal the formation mechanism of the eighth-order wheel polygon. Design/methodology/approach This study develops vehicle-track system rigid-flexible coupled dynamics model and wheel-rail contact model. By examining stick-slip vibrations at the wheel-rail interface, this paper reveals the formation mechanism of wheel polygons on the test vehicle. In addition, a method is proposed to quantify wheel-rail stick-slip vibration intensity using the coefficient of variation, which allows for the evaluation of how track conditions influence wheel-rail stick-slip characteristics. Findings Results show that small-radius curves trigger wheel-rail stick-slip vibration, exciting the wheelset torsional mode and causing eighth-order polygonal wear. Track irregularities amplify vibration intensity in the inner wheel, resulting in higher levels of polygonal roughness. Originality/value Through the integration of field measurements and numerical simulations, the intrinsic relationship between wheel-rail interface stick-slip characteristics and the formation of wheel polygon is revealed. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2025-0013/

Industrial Lubrication and TribologyVol. 77(7)
Tongji University (CN), Shanghai University of Engineering Science (CN), Chongqing Technology and Business University (CN), Shanghai Urban Transportation Design Institute (China) (CN), China Academy of Railway Sciences (CN), Guangzhou Metro Group (China) (CN)
Openalex Percentile: Top 93%
Railway Engineering and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.