Study of tribological behaviour of surface modified stainless-steel using recurrence quantification analysis and principal component analysis. (November 2020)

• Record Type: Journal Article
• Authors: Łępicka, Magdalena; Górski, Grzegorz; Grądzka-Dahlke, Małgorzata; Mosdorf, Romuald
• Is Part Of: Tribology international. Volume 151(2020)
• Publication Date: 2020-11
• Subjects: Recurrence quantification analysis -- Principal component analysis -- Coefficient of friction -- Electrical contact resistance; Tribology -- Periodicals; 621.89
• DOI: 10.1016/j.triboint.2020.106402
• Languages: English
• ISSNs: 0301-679X

Abstract

Abstract: In tribological studies, one of the main challenges is the proper identification of the prevalent wear phenomena that affect the mating pair of materials. In surface-modified materials, it is particularly difficult to identify the onset of wear-induced damage of the protective film. In this paper, an example of successful application of Recurrence Quantification Analysis (RQA) and Principal Component Analysis (PCA) on two tribological signals: coefficient of friction (COF) and electrical contact resistance (ECR), is presented. Based on the results provided, with the use of RQA and PCA, it is possible to identify the prevalent wear modes of a tribological pair, as well as to spot the transition between chaotic and periodic friction. Highlights: COF and ECR signals, registered during a dry wear test, were analyzed with RQA and PCA. As a tribological pair, TiN coated 316L vs. WC-Co ball was selected. The aim of the study was to check if RQA and PCA might be used to spot failure of a protective anti-wear film. Transitions between the wear modes, as well as failure of a TiN film, can be detected with the use of RQA and PCA.