Optimization of Tribological Behaviour of Aluminium Based Metal Matrix Composites Using Grey-Taguchi Method

Abstract

Aluminium matrix composites with multiple reinforcements are finding more applications because of its improved mechanical and tribological properties than single reinforced composites. This article addresses an approach based Grey-Taguchi method for optimizing the triblogical behavior of Al6061 reinforced with Silicon carbide and boron carbide. Applied Load, sliding distance, and sliding velocity are selected as the variables, and the wear rate and coefficient of friction are selected as response variables to investigate the dry sliding performance. As per Taguchi's L9 orthogonal array, the prepared hybrid composite is subjected to dry sliding wear tests using pin-on-disc apparatus to determine the wear and coefficient of friction. Initially, Grey relational analysis (GRA) is used to optimize the dry sliding performance of the MMCs. Based on the grey relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA. Confirmation test is conducted to validate the test result. Experimental results have shown that the sliding velocity is the most effective factor among the control parameters on dry sliding wear, followed by the sliding distance, and load. Finally, the micro structural investigation on the worn surfaces is performed by Scanning Electron Microscope.