A Review on Optimization of Friction and Wear Parameters (Al Alloy-B₄C) Composite Using Taguchi Technique

Abstract:

Metal matrix composites (MMCs) have proved their viability as good alternatives to conventional alloys in high strength and stiffness application in industries like automobile, aerospace and mineral processing. Al metal matrix composites (MMCs) are being considered as a group of advanced materials for their lightweight, low coefficient of thermal expansion, and good wear resistance properties. The optimization of parameter has been done by using different techniques like Taguchi, DOE and their results were verified by ANOVA. Signal-to-noise ratio and Analysis of variance (ANOVA) were used to investigate the influence of parameters on the wear rate. Based on various papers the conclusion of this review paper is to study the influence of applied load, sliding speed and sliding distance on the various parameter such as optimum wear and co-efficient of friction of Al alloy-B₄C composite to enhance the quality of product and suggest the best combination of wear parameter which helps to reduce the wear of product with the help of Taguchi method. The wear resistance of the composite was found to be considerably higher than that of the matrix alloy and increased with increasing particle content. The major observation based on reviewed papers is that the major factor in determining the wear rate is load applied followed by distance and sliding velocity whereas distance affects the coefficient of friction to a large extent followed by load and sliding velocity.

• Periodical: Applied Mechanics and Materials (Volumes 813-814)
• Pages: 491-497
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.813-814.491
• Online since: November 2015
• Authors: Vishwanath Prasad*, V.K. Soni, Ravindra singh rana
• Keywords: ANOVA, Metal Matrix Composite (MMCs), Optimization, Taguchi Method

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