MONITORING OF DRY SLIDING WEAR USING FRACTAL ANALYSIS

Jianbo Zhang, Paul Regtien, Maarten Korsten

Abstract

Reliable online monitoring of wear remains a challenge to tribology research as well as to the industry. This paper presents a new method for monitoring of dry sliding wear using digital imaging and fractal analysis. Fractal values, namely fractal dimension and intercept, computed from the power spectrum of the images of a wearing surface, are adopted as indicators of the dynamic wear process. Experimental results show that progressive changes of fractal values might reveal the wear status of the surface.

Keywords

wear, fractal analysis

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DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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