Monitoring of dry sliding wear using fractal analysis

Research output: Contribution to conferencePaperAcademicpeer-review

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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.
Original languageUndefined
Pages1-8
Number of pages8
Publication statusPublished - 2005

Keywords

  • Dry sliding wear
  • EWI-18589
  • IR-73683
  • fractal analysis

Cite this

@conference{672d7c51336e4f65b8fa64cedc0299ee,
title = "Monitoring of dry sliding wear using fractal analysis",
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 = "Dry sliding wear, EWI-18589, IR-73683, fractal analysis",
author = "Jindang Zhang and Regtien, {Paulus P.L.} and Korsten, {Maarten J.}",
note = "This work has been financially supported by STW (Dutch Technology Foundation) under the project TET. 5120.",
year = "2005",
language = "Undefined",
pages = "1--8",

}

Monitoring of dry sliding wear using fractal analysis. / Zhang, Jindang; Regtien, Paulus P.L.; Korsten, Maarten J.

2005. 1-8.

Research output: Contribution to conferencePaperAcademicpeer-review

TY - CONF

T1 - Monitoring of dry sliding wear using fractal analysis

AU - Zhang, Jindang

AU - Regtien, Paulus P.L.

AU - Korsten, Maarten J.

N1 - This work has been financially supported by STW (Dutch Technology Foundation) under the project TET. 5120.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Dry sliding wear

KW - EWI-18589

KW - IR-73683

KW - fractal analysis

M3 - Paper

SP - 1

EP - 8

ER -