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A Machine Learning Approach for Real-Time Wheel-Rail Interface Friction Estimation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Predicting friction at the wheel-rail interface is a key problem in the rail industry. Current forecasts give regional-level predictions, however, it is well known that friction conditions can change dramatically over a ...
A Discrete Element Model of High-Pressure Torsion Test to Assess the Effect of Particle Characteristics in the Interface
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Sand particles have been used since the early stages of the railway industry to increase adhesion at the wheel–rail contact. However, there is a limited understanding of how sand particle characteristics affect the ...
Real-Time Measurement of Dynamic Wheel-Rail Contacts Using Ultrasonic Reflectometry
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: The contact condition between the wheel and the rail is paramount to the lifespan, safety, and smooth operation of any rail network. The wheel/rail contact condition has been estimated, calculated, and simulated successfully ...
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