Prediction of the abrasive wear behaviour of heat-treated aluminium-clay composites using an artificial neural network

Prediction of the abrasive wear behaviour of heat-treated aluminium-clay composites using an artificial neural network

This work employs the T6 heat treatment process to aluminium-clay (Al-Clay) composite consisting of 15 wt% clay. The samples were solutionized at 500°C, 550°C and 600°C, and were quenched in air, oil and water. Selected samples of the heat-treated composite were subjected to wear tests using Denison...

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Bibliographic Details
Main Authors: Ademola Abiona Agbeleye, David E. Esezobor, Johnson O. Agunsoye, Sanmbo A. Balogun, Adeyanju A. Sosimi
Format: Article
Language:English
Published: Taylor & Francis Group 2018-03-01
Series:Journal of Taibah University for Science
Subjects:
Aluminium-clay composite
artificial neural network
wear rate
heat treatment
performance
Online Access:http://dx.doi.org/10.1080/16583655.2018.1451119

Internet

http://dx.doi.org/10.1080/16583655.2018.1451119

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