Study on influence of driving system suspension parameters on wheel wear in high-speed motor car

Gear transmission has a non-negligible influence on the dynamic responses and wheel wear of high-speed motor cars. This work analyzes the influence of the driving system on dynamic responses and wheel wear of high-speed motor cars during acceleration. Firstly, a fully nonlinear multibody system(MBS) is developed and various nonlinear factors, such as various types of dampers and wheel-rail contact relation, are considered, and the detailed gear transmission is also introduced to obtain the accurate dynamic responses. Secondly, a wheel wear prediction model integrating the Archard wear model and the vehicle dynamics system is established based on wheel tread update strategy of target speed, and wheel wear evolution of high-speed motor car is obtained in one re-profiling cycle, and simulation results are compared with the field measured data respectively to validate vehicle model and wheel wear prediction procedure. Finally, the effects of gearbox suspension rod stiffness and vertical motor suspension joint stiffness on dynamic responses and wheel wear during acceleration process are simulated respectively. The results show that as the gearbox suspension rod stiffness increases, the gearbox suspension force gradually increases, which not only suppresses the nodding motion of the gearbox but also reduces the absolute value of the longitudinal wheel creepage, resulting in the reduction of wear depth. Moreover, the difference between the dynamic response of high-speed motor cars with and without gear transmission is huge, which indicates that gear transmission is not negligible in the process of dynamics simulation and wheel wear prediction.

Authors

Institutions

Publication Details

Journal
Journal of Vibroengineering
Published
2026-02-18
DOI
https://doi.org/10.21595/jve.2026.25310
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on influence of driving system suspension parameters on wheel wear in high-speed motor car

Chengyu Sha, Pingbo Wu, Jie Hu
Journal of Vibroengineering
Railway Engineering and Dynamics
article

Study on influence of driving system suspension parameters on wheel wear in high-speed motor car

Chengyu Sha, Pingbo Wu, Jie Hu
article en

Abstract

Gear transmission has a non-negligible influence on the dynamic responses and wheel wear of high-speed motor cars. This work analyzes the influence of the driving system on dynamic responses and wheel wear of high-speed motor cars during acceleration. Firstly, a fully nonlinear multibody system(MBS) is developed and various nonlinear factors, such as various types of dampers and wheel-rail contact relation, are considered, and the detailed gear transmission is also introduced to obtain the accurate dynamic responses. Secondly, a wheel wear prediction model integrating the Archard wear model and the vehicle dynamics system is established based on wheel tread update strategy of target speed, and wheel wear evolution of high-speed motor car is obtained in one re-profiling cycle, and simulation results are compared with the field measured data respectively to validate vehicle model and wheel wear prediction procedure. Finally, the effects of gearbox suspension rod stiffness and vertical motor suspension joint stiffness on dynamic responses and wheel wear during acceleration process are simulated respectively. The results show that as the gearbox suspension rod stiffness increases, the gearbox suspension force gradually increases, which not only suppresses the nodding motion of the gearbox but also reduces the absolute value of the longitudinal wheel creepage, resulting in the reduction of wear depth. Moreover, the difference between the dynamic response of high-speed motor cars with and without gear transmission is huge, which indicates that gear transmission is not negligible in the process of dynamics simulation and wheel wear prediction.

Journal of Vibroengineering
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 52%
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.