Prediction of critical load and wear rate of coatings by fuzzy Theory

Zhenfang Zhang; Liangchi Zhang; Yiu Wing Mai

doi:10.1080/10426919708935145

Prediction of critical load and wear rate of coatings by fuzzy Theory

Zhenfang Zhang, Liangchi Zhang, Yiu Wing Mai

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

Abstract

This paper proposes a new method of rule-based fuzzy modelling to predict the critical loads and wear rates of some typical ceramic coating systems. Coating hardness, thickness and friction coefficient were used as the input variables. Experimental results from a number of research laboratories confirmed the feasibility of the fuzzy approach. The proposed method showed its unique advantage to deal with complexity associated with the wear of surface coatings.

Original language	English
Pages (from-to)	345-357
Number of pages	13
Journal	Materials and Manufacturing Processes
Volume	12
Issue number	2
DOIs	https://doi.org/10.1080/10426919708935145
Publication status	Published - 1997
Externally published	Yes

ASJC Scopus subject areas

General Materials Science
Mechanics of Materials
Mechanical Engineering
Industrial and Manufacturing Engineering

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10.1080/10426919708935145

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title = "Prediction of critical load and wear rate of coatings by fuzzy Theory",

abstract = "This paper proposes a new method of rule-based fuzzy modelling to predict the critical loads and wear rates of some typical ceramic coating systems. Coating hardness, thickness and friction coefficient were used as the input variables. Experimental results from a number of research laboratories confirmed the feasibility of the fuzzy approach. The proposed method showed its unique advantage to deal with complexity associated with the wear of surface coatings.",

author = "Zhenfang Zhang and Liangchi Zhang and Mai, {Yiu Wing}",

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AB - This paper proposes a new method of rule-based fuzzy modelling to predict the critical loads and wear rates of some typical ceramic coating systems. Coating hardness, thickness and friction coefficient were used as the input variables. Experimental results from a number of research laboratories confirmed the feasibility of the fuzzy approach. The proposed method showed its unique advantage to deal with complexity associated with the wear of surface coatings.

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DO - 10.1080/10426919708935145

M3 - Journal article

AN - SCOPUS:0031094491

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JO - Materials and Manufacturing Processes

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Prediction of critical load and wear rate of coatings by fuzzy Theory

Abstract

ASJC Scopus subject areas

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