Experimental investigation and prediction of wear properties of Al/SiC metal matrix composites produced by thixomoulding method using Artificial Neural Networks

• Reinforced SiC aluminium matrix composites produced by thixomoulding process.
• Two different temperatures were used in production of the MMCs.
• The wear test of produced composites was done.
• Artificial Neural Network model was developed for the prediction weight loss.

In this study, the wear properties of the SiC particle reinforced aluminium (A356) composite materials (MMCs), produced with thixomoulding method, were investigated both by experimental and Artificial Neural Network (ANN) model in order to determine the w