Understanding and treatment of severe flange wear of metro train wheels

Tao, Gongquan; Wang, Shenghua; Ren, Dexiang; Li, Jiaxin; Wen, Zefeng

doi:10.1080/00423114.2022.2117057

Cited by 7 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More detailed measurement results of wheel profiles can be found in Ref. 27 The features of wheel flange wear evolution were achieved by analyzing the monitoring data of wheel flange thickness from Jan. 2015 to Dec. 2020. Figure 4(b) and (c) give an example of the evolution of the wheel flange thickness.…”

Section: Field Investigation Of Rail and Wheel Wearmentioning

confidence: 99%

“…The monitoring test of the wheel flange wear showed that after the improvement of the wayside lubrication the wear rate of the wheel flange decreased from about 0.5 to 0.16 mm/10 4 km. 27 Influence of rail profiles. During the field investigation, we found that the worn shape of the low rail deviated significantly from the new profile, resulting in loss of profile curvature.…”

Section: Rail Wear Simulation Modelmentioning

confidence: 99%

“…If the lubrication on the rail gauge face or wheel flange face is poor, which may result in more serious wheel flange wear and rail side wear of the high rail. In our previous study, 27 we proposed to use the LM wheel profile to improve the curving performance of the vehicle. Two wheel profiles with a flange thickness of 30 mm were used in a test train.…”

Section: Rail Wear Simulation Modelmentioning

confidence: 99%

“…The monitoring test of the wheel flange wear showed that after the improvement of the wayside lubrication the wear rate of the wheel flange decreased from about 0.5 to 0.16 mm/10 4 km. 27…”

Section: Rail Wear Simulationmentioning

confidence: 99%

“…When the side wear of the high rail exceeds the limit, it needs to be replaced with a new rail, however, the low rail remains its original shape, which further deteriorates the curving performance of the vehicle. 27 The influence of the rail profiles on the side wear of the high rail was investigated using the rail simulation model. The friction coefficient was set to 0.3 for the gauge face of the high rail.…”

Section: Rail Wear Simulationmentioning

confidence: 99%

See 4 more Smart Citations

Analysis of the causes of severe side wear of the high rail on metro curves by numerical simulation and field investigation

Wang

Wen

Ren

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part F:

Self Cite

View full text Add to dashboard Cite

Two of the Shanghai metro lines suffered from severe side wear on the high rail, not only in sharp curves but also in large curves, and the service life of some rails on sharp curves was reduced by approximately 50% compared with the last rail replacement. Features and evolution rules for the rail side wear and the wheel flange wear were determined by field measurements and long-term monitoring. A rail wear prediction model, verified in our previous work, is used to reveal the influence of factors on rail wear. The results indicate that the poor lubrication condition at the rail gauge face is the main cause of severe side wear of the high rail, and the use of wheel profiles with low conicity and the loss of profile curvature of low rail profiles caused by the untimely maintenance also increase the side wear of the high rail. The service life of the high rail could be greatly extended by some countermeasures, such as repairing the worn shape of the low rail and repairing/improving the wayside lubrication system.

show abstract

Section: Field Investigation Of Rail and Wheel Wearmentioning

confidence: 99%

Section: Rail Wear Simulation Modelmentioning

confidence: 99%

Section: Rail Wear Simulation Modelmentioning

confidence: 99%

“…The monitoring test of the wheel flange wear showed that after the improvement of the wayside lubrication the wear rate of the wheel flange decreased from about 0.5 to 0.16 mm/10 4 km. 27…”

Section: Rail Wear Simulationmentioning

confidence: 99%

Section: Rail Wear Simulationmentioning

confidence: 99%

See 3 more Smart Citations