Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Materials...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Materials Science Letters
Article . 1996 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Predictability of wear status provided by fractal dimensions of wear particles

Authors: MingQiu Zhang; Le Song; HanMin Zeng; K. Friedrich;

Predictability of wear status provided by fractal dimensions of wear particles

Abstract

Wear particles are produced when materials rub against each other. It has been identified that wear particles carry substantial information about the wear processes experienced by a material working in a tribological environment. Through careful examination of the wear particles, the wear mechanisms and the cause of wear can be successfully deduced [I]. In addition to the scientific significance, investigation of wear particles is also important in the industrial field, for example, a ferrography technique is now being used for on-line inspection of metallic frictional couples. However, such an analysis and interpretation depending on unreliable visual assessment cammt always guarantee the necessary objectivity and accuracy. Evidently, a numerical method that is independent of subjectivity is needed. A recent development in this direction is the application of fractals to the quantitative characterization of wear particles [2, 3]. Fractal geometry describing non-Euclidean objects [4] has proved to be effective for analysing the chaotic morphology of wear particles. It was further found that the fractal dimensions of wear particles were closely related to the wear behaviour of the bulk material, and can serve as a measure of wear rate [5]. The present letter is a continuation of previous work [5] in which the fractal dimensions of wear particles generated at different loadings were measured by the "slit island method" following sliding wear of polyetheretherketone (PEEK) under unlubricated conditions against steel. The main objective here was to examine the sensitivity of a different fractal characterization technique, i.e. the Richardson method [6]. The materials employed in this investigation were PEEK plates with a reduced viscosity of 0.62 ml gl , kindly supplied by Jilin University, China. The specimens for wear tests were machined from these plates with a geometry of 5 x 10 x 15 mm, resulting in an apparent contact area of about 5 x 10 man 2. Room temperature sliding wear tests were carried out on a pin-on-ring apparatus [7] under different loadings at a constant velocity (v = 0.4 msi ) . The carbon steel rings (0.42-0.45 wt% C, 0.170 .37wt% Si and 0 .50-0.80wt% Mn, HRC 50) had a diameter of 40 mm and an initial surface roughness Ra of 0.1 Nm. When the apparatus had operated for 2 h in steady state, the wear test was

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!