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Advances in Tribology
Volume 2013, Article ID 213914, 8 pages
Research Article

MOORA-Based Tribological Studies on Red Mud Reinforced Aluminum Metal Matrix Composites

1Department of Mechanical Engineering, Kalasalingam University, Anand Nagar, Krishnankoil 626126, India
2Nadar Saraswathi College of Engineering and Technology, Theni 625 531, India
3Department of Mechanical Engineering, P.S.R. Engineering College, Sevalpatti, Sivakasi 626 140, India

Received 25 May 2013; Accepted 5 September 2013

Academic Editor: Patrick De Baets

Copyright © 2013 S. Rajesh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents the findings of an experimental investigation on the effects of applied load, sliding velocity, wt.% of reinforcement and hardness of the counterface material in dry sliding wear studies performed on red mud-based aluminum metal matrix composites (MMC). The specific wear rate and the coefficient of friction are considered as the output quality characteristics. Taguchi-based L9 orthogonal array has been used to accomplish the objective of the experimental study. Analysis of variance (ANOVA) is employed to find the optimal setting and the effect of each parameter on the output performance characteristics. It has been observed that optimal factor setting for each output performance is different. In order to minimize the two responses simultaneously, multiobjective optimization based on ratio analysis (MOORA) is adopted. MOORA revealed that the optimal combination of the dry sliding wear parameters for the multiperformance characteristics of the red mud based aluminium is the set normal load at 20 N, sliding velocity 3 m/s, % of reinforcement 20%, and counterface hardness of the material 58 HRC.