Abstract

Wear test results exhibit often large scattering and hence poor repeatability, reproducibility, and reliability. The study of spreading of tribological experimental results requires so called big datasets, allowing to understand the origin of scattering and to characterize statistical distributions.In various studies, wear coefficients were found to have lognormal distributions. Therefore, it was supposed that the wear coefficient is affected by two normally distributed variables, which combine through a product, namely the number of contacting asperities and the size of the produced wear particles.In the present study, taking advantage of large sets of measurements collected in the last decades in the Federal Institute for Materials Research and Testing, we demonstrate that a lognormal distribution may arise from a non-constant wear coefficient, too, i.e., when a system does not follow Archard’s law.

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