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

• Published in: Journal of Taibah University for Science Vol. 12; no. 2; pp. 235 - 240
• Main Authors: Agbeleye, Ademola Abiona, Esezobor, David E., Agunsoye, Johnson O., Balogun, Sanmbo A., Sosimi, Adeyanju A.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 04.03.2018
• Subjects: Aluminium-clay composite; artificial neural network; heat treatment; wear rate

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...