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The present paper examined the dry sliding wear behaviour of Al 2 O 3-reinforced magnesium composites which are produced with semi solid stir casting method through a pin-on-disc sort of wear arrangement. The specimens of AZ91E-Al 2 O 3 reinforced metal matrix composites (MMCs) are made to slip against a steel counterpart and have undergone dry sliding wear tests. So as to assess the dry sliding behaviour, the wear rate and friction force have been selected as responses and varied percentages of reinforcement, loads, sliding distances and velocities have been chosen as the control variables. The experimental design was carried out making use of an L9 orthogonal array. Grey relational analysis (GRA) was the method employed in the initial stages of the optimization of the dry sliding performance of the Al 2 O 3-reinforced MMCs. For the whole grey relational grade, wear rate and friction force resulted as the optimum level parameters based on the GRA. To conclude, the SEM images (scanning electronic microscope) are taken to examine the wear surface morphology and wear mechanism of the composites. The analysis shows optimal parameter combination is determined as sliding velocity: 1m.sec-1 , sliding distance: 500m, applied load: 10N, and % of reinforcement: 1%.

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India.