Fractal geometry model for wear prediction

G. Y. Zhou, M. C. Leu, D. Blackmore

Research output: Contribution to journalArticlepeer-review

98 Scopus citations

Abstract

Fractal characterization of surface topography is applied to the study of contact mechanics and wear processes. The structure function method is used to find the fractal dimension D and the topothesy L. We develop a fractal geometry model, which predicts the wear rate in terms of these two fractal parameters for wear prediction. Using this model we show that the wear rate Vr and the true contact area Ar have the relationship VrαArm(D), where m(D) is a function of D and has a value between 0.5 and 1. We next study the optimum (i.e. the lowest wear rate) fractal dimension in a wear process. It is found that the optimum fractal dimension is affected by the contact area, material properties and scale amplitude. Experimental results of wear testing show good agreement with the predictions based on the model.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalWear
Volume170
Issue number1
DOIs
StatePublished - Nov 15 1993

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Mechanics of Materials
  • Surfaces and Interfaces
  • Surfaces, Coatings and Films
  • Materials Chemistry

Fingerprint

Dive into the research topics of 'Fractal geometry model for wear prediction'. Together they form a unique fingerprint.

Cite this