Dry Sliding Wear Characteristics of SiC and Al2O3 Nanoparticulate Aluminium Matrix Composite Using Taguchi Technique

This paper investigates the sliding wear behaviour of nanoparticle-filled aluminium matrix nano-composites (AMNCs). Two different nano-reinforcements undertaken for this study are SiC and Al2O3. The percentage reinforcement is also varied from 0.5 to 1.5 wt%. For investigating the wear behaviour, factors such as applied normal load, sliding speed and sliding distance are considered. Also Taguchi design of experimental technique is employed for the study and analysis of sliding wear. Findings showed that nano-SiC particulate-reinforced AMNCs show better wear resistance than nano-Al2O3-reinforced AMNCs. Also regression and artificial neural network are used to develop a model to predict the wear rate of these composites.