STUDY ON THE EFFECTS OF CERAMIC PARTICULATES (SIC, AL2O3 AND CENOSPHERE) ON SLIDING WEAR BEHAVIOUR OF ALUMINIUM MATRIX COMPOSITES USING TAGUCHI DESIGN AND NEURAL NETWORK

Kiran Kumar Ekka, S.R. Chauhan, Varun

Abstract: This paper investigates the sliding wear behaviour of three different composites. Three different reinforcements are under taken for this study namely SiC, Al2O3 and Cenosphere. Along with it percentage reinforcement is also varied from 8wt% to 16wt.%. Other factors applied normal load and sliding speed are also considered. Taguchi design of experimental technique is employed for the study of sliding wear. It is observed that SiC reinforced composites show better wear resistance than Al2O3 and Cenosphere reinforced composites. Regression and artificial neural network (ANN) is used to develop a model to predict the wear loss. It is observed that artificial neural network is more efficient than regression.

Keywords: A. Metal-matrix composites (MMCs); B.Wear; C.Taguchi D. Nueral Network

DOI: https://doi.org/10.15623/ijret.2013.0211083