Wear detection method of CL60 railway wheel and U75V rail steel based on nonlinear ultrasound

CAI Zhi-chao; CHEN Lan; LI Hao; QIN Tao; SHEN Ming-xue

doi:10.19818/j.cnki.1671-1637.2021.06.010

Volume 21 Issue 6

Dec. 2021

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Article Navigation > Journal of Traffic and Transportation Engineering > 2021 > 21(6): 136-146

CAI Zhi-chao, CHEN Lan, LI Hao, QIN Tao, SHEN Ming-xue. Wear detection method of CL60 railway wheel and U75V rail steel based on nonlinear ultrasound[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 136-146. doi: 10.19818/j.cnki.1671-1637.2021.06.010

Citation:

CAI Zhi-chao, CHEN Lan, LI Hao, QIN Tao, SHEN Ming-xue. Wear detection method of CL60 railway wheel and U75V rail steel based on nonlinear ultrasound[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 136-146. doi: 10.19818/j.cnki.1671-1637.2021.06.010

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Wear detection method of CL60 railway wheel and U75V rail steel based on nonlinear ultrasound

doi: 10.19818/j.cnki.1671-1637.2021.06.010

CAI Zhi-chao^{1, 2
,},
CHEN Lan²,
LI Hao²,
QIN Tao³,
SHEN Ming-xue^{1, 3
,
,}

1.
State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, Jiangxi, China
2.
School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, Jiangxi, China
3.
School of Materials Science and Engineering, East China Jiaotong University, Nanchang 330013, Jiangxi, China

Funds:

National Natural Science Foundation of China 51807065

Key Research and Development Program of Jiangxi Province 20202BBEL53015

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Author Bio:
CAI Zhi-chao(1989-), male, associate professor, PhD, czchebut@foxmail.com
Corresponding author: SHEN Ming-xue(1982-), male, professor, PhD, shenmingxue@126.com
Received Date: 2021-07-08
Available Online: 2022-02-11
Publish Date: 2021-12-01

Abstract

Abstract

With an aim to resolve the difficulty of the characterization of the change process of early wheel/rail rolling wear by non-destructive measurement, a nonlinear ultrasonic technology was proposed to detect and evaluate CL60 wheel and U75V rail specimens with different wear degrees. The Murnaghan model was established based on the surface wear characteristics of wheel/rail specimens. A finite element simulation of nonlinear ultrasonic was used to simulate different degrees of friction damage based on the plastic deformation layer thickness. The change law of the relative nonlinear coefficient and its causes in the process of wheel/rail friction damage, were analyzed. Experimental results indicate that the early wear of wheel/rail can result in the formation of a plastic deformation layer on the material surface, and with the aggravation of plastic deformation, the material damage appears mainly through microcracks. With an increase in the wheel angular acceleration, the relative sliding time between wheel and rail is shorter, the plastic deformation layer is thinner, and the CL60 wheel wear is more serious than the U75V rail wear. When the wheel angular accelerations for the CL60 wheel specimens are 10, 250, and 1 500 r·min^-2, respectively, the corresponding relative nonlinear coefficients are 12.19, 8.43, and 5.68, respectively. When the wheel angular accelerations for the U75V rail specimens are 10, 250, and 1 500 r·min^-2, respectively, the corresponding relative nonlinear coefficients are 7.57, 6.09, and 5.04, respectively. Compared with the CL60 wheel specimens, the nonlinear coefficient of the U75V rail specimens changes more slowly. Therefore, the relative nonlinear coefficient and plastic deformation layer thickness are positively correlated, and the nonlinear effect caused by microcracks is stronger than that of the plastic deformation layer, resulting in a high increase in the relative nonlinear coefficient. Thus, the wear stage of a material can be determined by the change in the relative nonlinear coefficient of the material. 2 tabs, 15 figs, 30 refs.
- railway engineering,
- wheel/rail friction damage,
- ultrasonic testing,
- finite element model,
- ultrasonic nonlinear coefficient,
- rolling wear assessment

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References(30)

References

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Wear detection method of CL60 railway wheel and U75V rail steel based on nonlinear ultrasound

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