Evaluation of fretting wear damage on coated system using computer vision technique Online publication date: Fri, 08-Jul-2022
by Kyungmok Kim
International Journal of Surface Science and Engineering (IJSURFSE), Vol. 16, No. 2, 2022
Abstract: This article describes a simple method to evaluate fretting-wear damage of low friction coatings using computer vision techniques. Evaluation is based on the relationship between a substrate area appearing on a contact surface and the number of fretting cycles. Quantification of the substrate area enables the evaluation of fretting damage and the prediction of the remaining lifetime of the coating. Substrate regions that appeared on a contact surface were detected by using Otsu threshold on V-channel image and thresholds for H-and S-channel images in HSV colour model. The thresholds for H-and S-channel images were determined with experimental data. The coefficient of a fretted area (COA) was introduced for quantifying fretting wear damage of a coating. Direct comparison between calculated COA values and measured ones were carried out. It was demonstrated that the proposed method allows effective evaluation of fretting-wear damage within a 5% error margin.
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