Monitoring of Dry Sliding Wear Using Fractal Analysis

نویسندگان

  • JIANBO ZHANG
  • PAUL REGTIEN
  • MAARTEN KORSTEN
چکیده

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.

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تاریخ انتشار 2007