Title: Evaluation of fretting wear damage on coated system using computer vision technique

Authors: Kyungmok Kim

Addresses: School of Aerospace and Mechanical Engineering, Korea Aerospace University, 76 Hanggongdaehak-ro, Deogyang-gu, Goyang-si, Gyeongi-do, 412-791, South Korea

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.

Keywords: fretting wear; computer vision; otsu threshold; low friction coating.

DOI: 10.1504/IJSURFSE.2022.124010

International Journal of Surface Science and Engineering, 2022 Vol.16 No.2, pp.150 - 162

Received: 13 Sep 2021
Accepted: 01 Nov 2021

Published online: 08 Jul 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article