Optimization of hybrid aluminum composites wear using Taguchi method and artificial neural network

摘要

Purpose - This research aims to describe the influence of weight per cent of graphite (Gr), applied load and sliding speed on the wear behavior of aluminum (Al) alloy A356 reinforced with silicon carbide (SiC) (10 Wt%) and Gr (1 Wt.% and 5 Wt%) particles. The objective is to analyze the effect of the aforementioned parameters on a specific wear rate.