16 Jun Student | Sundar Shrestha | Power and Propulsion
CQUniversity (Supervisor: Maksym Spiryagin)
PhD topic – Estimation of adhesion conditions between wheels and rails for the development of advanced braking control systems
This research proposes the development of a real-time on-board device which allows an enhanced and lower-cost contact detection process under changing operational conditions in real-time. This improvement in the monitoring of contact conditions will provide enhancement to rail vehicle braking and traction performance, wear reduction, noise reduction and operational safety.
Expected completion date
- Low-cost novel real-time algorithm to estimate the coefficient of adhesion at wheel-rail contact interface based on the information obtained from the advanced sensor data processing.
- Improved algorithm for Wheel Slide Protection (WSP) controller to maximise the utilisation of available adhesion based on a hybrid simulation model for the safety performance and to minimise train braking distance.
- Innovative adhesion monitoring algorithm based on the analysis of rolling noise from the wheel-rail contact interface.
- Provisional patent application “Adhesion System of a Rail Vehicle for Improvement of Brake System Performance” is prepared for lodgement.
Shrestha, S., Koirala, A., Spiryagin, M. and Wu, Q. Wheel-rail interface condition estimation via acoustic sensors, in Joint Rail Conference JRC2020, 2020, [online access] pp. 1–6.
Shrestha, S., Spiryagin, M. and Wu, Q. Friction condition characterization for rail vehicle advanced braking system, Mechanical Systems and Signal Processing, vol. 134, p. 106324, Dec. 2019, doi: 10.1016/j.ymssp.2019.106324.
Shrestha, S., Spiryagin, M. and Wu, Q. Variable control setting to enhance rail vehicle braking safety, in Joint Rail Conference JRC2020, 2020, [online access] pp. 1–6.
Shrestha, S., Wu, Q. and Spiryagin, M. Review of adhesion estimation approach for rail vehicles, International Journal of Rail Transportation, vol. 7, no. 2. Taylor and Francis Ltd., pp. 79–102, 03-Apr-2019, doi: 10.1080/23248378.2018.1513344.
Shrestha, S., Wu, Q. and Spiryagin, M. Wheel-rail contact modelling for real-time adhesion estimation systems with consideration of bogie dynamics, in 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems, 2018, pp. 862–869.