Investigating the stick-slip vibration behavior of a locomotive with adhesion control in a curve

Sun, Linping; Yang, Zhongliang; Ma, Weihua; Luo, Shihui; Wang, Bo

doi:10.1177/09544097241233039

Cited by 3 publications

References 31 publications

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A numerical study on locomotive wheel wear on curved track subjected to adhesion control

Sun,

Yang,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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The wheel wear of heavy-duty locomotives is more complicated than that of other vehicles when it affects tractive force and adhesion control. The purpose of this article is to calculate wheel wear on a curved track using a co-simulation dynamic model of a heavy-duty locomotive with adhesion control. Additionally, the effect of creep threshold, decline slope, curve radius, and passing speed on wheel wear is further investigated. The findings demonstrate that wheel wear can be successfully decreased by adjusting the creep threshold and decline slope of adhesion control parameters. The wheel-rail stick-slip vibration behavior on the curve track can be eliminated by increasing the curve’s radius and passing speed, but the vertical wear at the left wheel’s flange will rise sharply with the increase of passing speed on right hand curve.

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A numerical study on locomotive wheel wear on curved track subjected to adhesion control

Sun,

Yang,

Wang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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Non-smooth modelling of drive wheels stick-slip

Oprea,

Tudorache,

Spiroiu

2024

Preprint

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Motor railway vehicles necessitate enhanced control of wheel-rail contact mechanics to ensure optimal adhesion. During train running, driving axles can exhibit torsional vibrations that compromise adhesion and potentially lead to axle damage. Consequently, the development of dynamic models for analyzing driving axle stick-slip phenomena and control strategies is an area of significant research interest. This work focuses on demonstrating the efficacy of non-smooth models in studying the torsional stick-slip behaviour of axles in traction vehicles during acceleration. Despite their application in various railway vehicle problems, non-smooth models haven't been explored as an alternative for analyzing stick-slip. The proposed model prioritizes simplicity while capturing the essential friction characteristics, enabling efficient dynamic simulations. A set-valued friction law is incorporated, and the equations of motion are formulated as a switch model. Numerical integration is achieved through an event-driven algorithm. The paper showcases application examples for the model. A direct comparison with a “classic” model yields that the non-smooth integration is 5 times more efficient in the stick phase.

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Efficient Wheel-Rail Stick-Slip Numerical Modeling for Railway Traction Vehicles

Oprea,

Tudorache,

Spiroiu

2024

Applied Sciences

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Motor railway vehicles necessitate enhanced control of wheel-rail contact mechanics to ensure optimal adhesion. During train running, driving wheelsets exhibit torsional vibrations that compromise adhesion and potentially lead to axle damage. Consequently, the development of dynamic models for analyzing driving wheelset stick-slip phenomena and control strategies is an area of significant research interest for traction control, studies on rail corrugation, and locomotive drivetrain design. Despite their application in various railway vehicle problems, non-smooth models have not been explored as an alternative for analyzing stick-slip, and existing research has focused on extensive computations based on Kalker’s theory or simplified models using constitutive friction laws. This work demonstrates the efficacy of non-smooth models in studying motor wheelset stick-slip. The non-smooth approach is suited for control systems, prioritizes simplicity while capturing the essential friction characteristics, and enables efficient dynamic simulations. The proposed model incorporates a set-valued friction law, and the equations of motion are formulated as a switch model. Numerical integration is achieved through an event-driven algorithm. The paper showcases application examples for the model. A direct comparison with an equivalent model using a constitutive friction law shows that the non-smooth integration is an order of magnitude more efficient in the stick phase.

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Investigating the stick-slip vibration behavior of a locomotive with adhesion control in a curve

Cited by 3 publications

References 31 publications

A numerical study on locomotive wheel wear on curved track subjected to adhesion control

A numerical study on locomotive wheel wear on curved track subjected to adhesion control

Non-smooth modelling of drive wheels stick-slip

Efficient Wheel-Rail Stick-Slip Numerical Modeling for Railway Traction Vehicles

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