Roger Lewis

TL;DR: In this article, a wheel wear prediction model is developed to predict the wheel profile evolution due to the wear process, which can be used to effectively evaluate maintenance intervals, to optimise wheel and rail profiles with respect to wear and to optimize the railway vehicle's suspensions with new and worn wheel profiles.

TL;DR: In this article, the authors present a map of rail material wear coefficients taken from laboratory tests run on twin disc and pin-on-disc machines as well as those derived from measurements taken in the field.

TL;DR: In this article, the safety-critical role of the wheel-rail interface is discussed and a detailed discussion of the engineering problems of particular importance to railways arise at interfaces is presented.

TL;DR: In this paper, the effects of a number of contaminants, such as oil, dry and wet leaves and sand, on wheel/rail adhesion were investigated using a twin disc simulation.

TL;DR: In this paper, a computational tool that is able to predict the evolution of the wheel profiles for a given railway system, as a function of the distance run, is presented, based on a commercial multibody software to study the railway dynamic problem and a purpose-built code for managing its pre and post-processing data in order to compute the wear.