Evaluation of critical wear transition loads of MMCs by rule based fuzzy modelling

Zhenfang Zhang; Liangchi Zhang; Yiu Wing Mai

doi:10.1007/BF00182551

Evaluation of critical wear transition loads of MMCs by rule based fuzzy modelling

Zhenfang Zhang, Liangchi Zhang, Yiu Wing Mai

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Abstract

The evaluation of critical transition loads in a wear system of metal matrix composites (MMCs) was attempted with the aid of the wear knowledge established using fuzzy rule based modelling. The model presumes that the membership function of the inputs and the rule base are proper. The membership function of the output is adjusted to minimise the error between the predicted output and the experimental results. The influencing parameters considered in this paper include particle size, composite hardness and particle volume fraction. The method shows its unique advantage to model the wear of the complex system with metal matrix composites.

Original language	English
Pages (from-to)	89-97
Number of pages	9
Journal	Tribology Letters
Volume	2
Issue number	1
DOIs	https://doi.org/10.1007/BF00182551
Publication status	Published - 1996
Externally published	Yes

Keywords

Critical wear transition load
Metal matrix composites
Rule based fuzzy modelling

ASJC Scopus subject areas

Mechanics of Materials
Mechanical Engineering
Surfaces and Interfaces
Surfaces, Coatings and Films

More information

10.1007/BF00182551

Cite this

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Evaluation of critical wear transition loads of MMCs by rule based fuzzy modelling

Abstract

Keywords

ASJC Scopus subject areas

More information

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