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A Statistical Analysis of Wear Behaviour of Fly Ash Reinforced Al-Sic Hybrid Composites | OMICS International| Abstract
ISSN: 2168-9806

Journal of Powder Metallurgy & Mining
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  • Research Article   
  • J Powder Metall Min 2018, Vol 7(1): 190
  • DOI: 10.4172/2168-9806.1000190

A Statistical Analysis of Wear Behaviour of Fly Ash Reinforced Al-Sic Hybrid Composites

Mohd Bilal Naim Shaikh*
Department of Mechanical Engineering, Aligarh Muslim University, Aligarh-202002, India
*Corresponding Author : Mohd Bilal Naim Shaikh, M. Tech, Department of Mechanical Engineering, Aligarh Muslim University, Aligarh-202002, India, Tel: +91 789635241, Email: mohammed_bilalnaimshaikh@zhcet.ac.in

Received Date: May 29, 2018 / Accepted Date: Jun 12, 2018 / Published Date: Jun 19, 2018

Abstract

The tribiological behaviour of aluminium hybrid composites reinforced with Silicon carbide (10 wt.%) and Fly ash (FA 0, 5, 10 and 15 wt.%) fabricated using powder metallurgy technique was investigated. Wear tests were performed on pin on disc machine to assess the tribiological behaviour of composites and to determine the optimum volume fraction of fly ash for its minimum wear. Wear loss reduces with increase in fly ash weight fraction and minimum wear rate was attained at 10 wt.% fly ash. The influences of sliding distance, sliding speed and applied load were studied with test based on full factorial design of experiments (DOE). Analysis of variance (ANOVA) was used to evaluate the percentage contribution of each sliding wear process parameters on wear loss. From the ANOVA approach, it was concluded that wear loss is mainly influenced by sliding distance followed by sliding speed and applied load.

Keywords:  Aluminium; Silicon carbide; Wear; ANOVA; Regression; Fly ash; Load; Sliding speed

Citation: Shaikh MBN (2018) A Statistical Analysis of Wear Behaviour of Fly Ash Reinforced Al-Sic Hybrid Composites. J Powder Metall Min 7: 190. Doi: 10.4172/2168-9806.1000190

Copyright: © 2018 Shaikh MBN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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