Title: Study of wear properties of Al7075-SiC-Gr composites using Taguchi and ANOVA methods

Authors: T.S. Manjunath; Seenappa; M.V. Praveen Kumar; M. Rudresh

Addresses: R&D, Bosch India Limited, Technical Center India, Bangalore, Karnataka – 560030, India; Department of Mechanical Engineering, Government Engineering College, Ramanagara, Karnataka – 562159, India ' Department of Mechanical Engineering, Government Engineering College, Kushalnagar, Karnataka – 571234, India ' Department of Automobile Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka – 560078, India ' Department of Aeronautical Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka – 560078, India

Abstract: This research work aims to study the wear properties of Al7075 grade aluminium based MMCs reinforced with SiC and Gr particles. Powder metallurgy process was followed to fabricate the composites with Al7075 particle sizes of 24 μm and 50 μm, SiC with varying weight amounts of 6, 12 and 18% and graphite (Gr) with constant weight of 4%. The composite samples were tested for wear loss and coefficient of friction using pin-on-disc wear test apparatus under dry conditions with varying sliding speed, distance and applied load. The experiments were designed using Taguchi L18 orthogonal array. The findings from S/N ratio and ANOVA approaches revealed that the most significant parameters influencing the wear loss were SiC content and applied load, while for the friction coefficient were applied load and sliding distance. Composite properties were improved by the amalgamation of smaller matrix particles (24 μm) and a higher reinforcement content (18 wt%).

Keywords: MMCs; metal matrix composites; Al7075-SiC-Gr; powder metallurgy; wear properties; Taguchi; ANOVA; analysis of variance.

DOI: 10.1504/IJCMSSE.2022.127970

International Journal of Computational Materials Science and Surface Engineering, 2022 Vol.11 No.2, pp.147 - 161

Received: 25 Jan 2022
Accepted: 04 Jul 2022

Published online: 22 Dec 2022 *

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