Ilaria Corni and Nicola Symonds
nCATS, Faculty of Engineering and the Environment, University of Southampton
Background
Rail axle bearings are fundamental components for train safety. On-board real-time vibration condition monitoring offers the opportunity to study the initial degradation stages of rail axle bearings removed from passenger trains. From the analysis of numerous damaged bearings, rolling contact fatigue (RCF) has been identified as the main failure mechanism involved.
Role of Computed Tomography
The micro-CT capabilities at µ-VIS can produce high resolution 3-dimensional data of the internal structure of the material. This capability has been key to fully characterize the RCF damage found within rail axle bearings. The micro-CT data have been employed to generate virtual cross-sections of the damage to identify and characterize the propagation mechanisms of sub-surface cracks before “spalling”. This tool has been key to increase the understanding of the propagation of these failure modes, and the implications for the condition of bearings in service.
Acknowledgements
The authors would like to acknowledge the EPSRC IAA support and Perpetuum for funding and the Southeastern staff for their assistance during the work.
