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Feature based characterization of worn surfaces for a sliding test
Authors:Q Hao  D Bianchi  M Kaestner  E Reithmeier
Affiliation:1. Institute of Measurement and Automatic Control, Leibniz Universitaet Hannover, Nienburger Strasse 17, 30167 Hannover, Germany;2. Austrian Center of Competence for Tribology, Viktor Kaplan Strasse 2, 2700 Wiener Neustadt, Austria;1. Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Romania;2. Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Italy;3. PlasmaChem GmbH, Berlin, Germany;1. Priority Organization for Innovation and Excellence, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto-shi, Kumamoto 860-8555, Japan;2. Department of Nuclear Engineering, Kyoto University, C3-d2S06, Kyoto Daigaku-Katsura, Nishikyo-ku, Kyoto 615-8540, Japan;1. Aperam Stainless Services & Solutions, Service Recherche, 62330 Isbergues, France;2. Laboratoire LAMIH/TEMPO, UMR CNRS 8201, Valenciennes, France;3. LAMIH, UMR CNRS 8201, Valenciennes, France;1. Faculty of Mechanical Engineering, Opole University of Technology, 76 Proszkowska St., 45-758 Opole, Poland;2. Faculty of Mechanical Engineering, University of Zielona Gora, 4 Prof. Z. Szafrana Street, 65-516 Zielona Gora, Poland;3. Faculty of Mechanical Engineering and Management, Poznan University of Technology, 3 Piotrowo St., 60-965 Poznan, Poland;1. Department of Chemistry, University of Eastern Finland, Joensuu Campus, P.O. Box 111, FI-80101 Joensuu, Finland;2. Department of Physics and Mathematics, University of Eastern Finland, Joensuu Campus, P.O. Box 111, FI-80101 Joensuu, Finland
Abstract:In this paper a novel 3D surface characterization technique—feature based characterization—is applied to analyse worn surfaces from a ball on disc sliding test. This technique concentrates on analysis of surface features that are related to tribological behaviour. The worn surfaces of discs are segmented according to their surface texture primitives in order to analyse the shapes of the asperities. In order to remove shapes and unnecessary features of the ball surfaces, a filtering technique through wavelet analysis is applied. Then the significant features are extracted by means of a marker controlled watershed transformation. As a result, the relationship between the feature based parameters and the tribological behaviour is presented.
Keywords:
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