This work was aimed to study on how wear of engineering polymers depends on the topography of counter-surfaces of non-Gaussian type. Instead of widely used Gaussian distribution of surface heights, the Weibull distribution was used here to model asperity heights distribution of the counter-surface. The key surface roughness parameters to characterize the distribution were chosen to be standard deviation, skewness, and kurtosis. Corresponding Weibull parameters were evaluated from both skewness and kurtosis values according to a customized methodology. Some basic wear equations have been extended and modified with Weibull distribution of asperity heights. Study revealed that all of the three surface roughness parameters of hard metal counter-surface substantially influence wear of soft polymers. Experiments have also been carried out with PEEK pins rubbing on 316L stainless steel disc in a typical pin-on-disc setup, and meaningful agreement was noted between some experimental findings and theoretical predictions. A wear severity chart for polymer while rubbed against hard metal surfaces under low load and speed was proposed from the comparative deliberations.
Wear – Elsevier
Published: May 1, 2015
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