Predicted Wheel Wear and RCF Performance Using VAMPIRE Automation Routines

Predicted wheel performance is an invaluable tool in developing new components such as wheel profiles and truck components and also in understanding and controlling wheel and rail wear and rolling contact fatigue (RCF). This paper outlines a vehicle dynamics trial using VAMPIRE Pro to compare the predicted wear and RCF performance of the WRISA2 wheel profile developed by the National Research Council of Canada (NRC) and the United Kingdom P8 wheel profile using measured wheel profiles from an in-service trial. WRISA2 and P8 profiles were fitted to two passenger trains running in normal service. Wheel profiles were measured every 10,000 miles. These measured profiles were used to predict wear and RCF damage for each wheel of the investigated rail vehicle, using a combination of VAMPIRE transient analysis and another program called the “Whole Life Rail Model” (WLRM). This process was repeated up to 190,000 miles run in service, allowing a clear comparison of the changing rail wear and RCF performance of the two profiles up to this mileage. This process was automated using new features within VAMPIRE that allow communication to 3^rd party computer programs including the WLRM, Microsoft Excel, and Microsoft Visual Basic. This research process presents itself to be a very useful tool in predicting wheel wear performance for any number of new wheel and truck components.