Search results

1 – 1 of 1
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 10 August 2012

Hakan Cetinel

The purpose of this paper is to predict friction/wear properties of Al2O3‐TiO2 coatings using artificial neural networks (ANN).

226

Abstract

Purpose

The purpose of this paper is to predict friction/wear properties of Al2O3‐TiO2 coatings using artificial neural networks (ANN).

Design/methodology/approach

Wear experiments were conducted in dry and acidic conditions. Wear loss values were determined and an ANN model was fixed in order to predict wear loss and friction coefficient values.

Findings

Experimental and theoretical study results were well matched for wear loss and friction coefficient values.

Research limitations/implications

The paper covers comparison of experimental and theoretical friction/wear results.

Practical implications

A practical implication is that wear loss values can be predicted without further wear experiments.

Originality/value

In this paper, the wear behavior of Al2O3‐TiO2 coatings has been investigated, both experimentally and theoretically, for the first time.

Details

Industrial Lubrication and Tribology, vol. 64 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

1 – 1 of 1
Per page
102050