Dry Sliding Wear Behaviour of Aluminium Alloy Reinforced With SiC Metal Matrix Composites Using Taguchi Method

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ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
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DOI: 10.18178/ijmerr
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Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.

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Home > Articles > All Issues > 2014 > Volume 3, No. 4, October 2014 >

Veerabhadrappa Algur1 , Lakshmana Naik T K2, Ravi B Chikmeti3 Akhil Sohan A2, Golla Sunil2, Mohan2, and Karoor Shekappa2

1.Department of Industrial Production Engineering, Rao Bahadur Y. Mahabaleshwarappa Engineering College, Bellary, Karnataka.
2.Department of Mechanical Engineering, Rao Bahadur Y. Mahabaleshwarappa Engineering College, Bellary, Karnataka.
3.Mechanical Engineering Department, PDA College of Engineering, Gulbarga, Karnataka.

Abstract—The purpose of present work is to investigate the dry sliding wear behaviour of aluminium alloy reinforcing with varying in percentage of SiC. Dry sliding wear tests were conducted on samples using pin-on-disc machine for varying Normal pressure, speed and wt % of SIC. The design of experiment approach was employed to acquire data in controlled way using Taguchi method and analysis of variance were employed to optimize the wear rate and frictional force of Al-SiC composite. The mathematical model was obtained to determine the wear rate and frictional force of Al-SiC composite. The confirmation tests were conducted to verify the experimental results.

Index Terms—ANOVA, MMC, Orthogonal array, Wear, etc.

Cite: Veerabhadrappa Algur, Lakshmana Naik T K, Ravi B Chikmeti, Akhil Sohan A, Golla Sunil, Mohan, and Karoor Shekappa, "Dry Sliding Wear Behaviour of Aluminium Alloy Reinforced With SiC Metal Matrix Composites Using Taguchi Method," International Journal of Mechanical Engineering and Robotics Research, Vol.3, No. 4, pp. 49-57, October 2014.