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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 Railhead Friction Estimation Using Machine Learning: Development of an On-Board-Train Data Capture System
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Low adhesion between the wheel and rail interface remains a significant challenge for the railway industry, particularly during the autumn season, leading to delays and safety risks such as station overruns and ...
Quantification of the Real Contact Area of a Finger-Pad During Sliding Using a Novel Optical Coherence Tomography System and the Influence of Skin Thickness
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Understanding the interaction of skin with surfaces is important as there are many applications where this is important, such as medicine (skin grafts), bioelectronics (sensors, robotic hands, and wearable ...
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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