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Open AccessArticle

Mathematical Modeling and Analysis of Tribological Properties of AA6063 Aluminum Alloy Reinforced with Fly Ash by Using Response Surface Methodology

1
Oil Products Distribution Company, Iraq Ministry of Oil, Baghdad 10022, Iraq
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Department of Materials Technology Engineering, Technical Engineering College-Baghdad, Middle Technical University, Baghdad 10074, Iraq
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Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia
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Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
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Centre for Advanced Composite Materials (CACM), Institute for Vehicle Systems and Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
*
Author to whom correspondence should be addressed.
Crystals 2020, 10(5), 403; https://doi.org/10.3390/cryst10050403
Received: 12 February 2020 / Revised: 17 March 2020 / Accepted: 1 April 2020 / Published: 16 May 2020
(This article belongs to the Special Issue Microstructural and Mechanical Characterization of Alloys)
Lightweight, high-strength metal matrix composites have attracted considerable interest because of their attractive physical, mechanical and tribological properties. Moreover, they may offer distinct advantages due to good strength and wear resistance. In this research, AA6063 was reinforced with FA particles using compocasting methods. The effects of fly ash content, load, sliding speed and performance tribology of AA6063 –FA composite were evaluated. Dry sliding wear tests were carried out according to experimental design using the pin-on-disc method with three different loads (24.5, 49 and 73.5 N) and three speeds (150, 200 and 250 rpm) at room temperature. Response surface methodology (RSM) was used to analyze the influence of the process parameters on the tribological behavior of the composites. The surface plot showed that the wear rate increased with increasing load, time and sliding velocity. In contrast, the friction coefficient decreased with increasing these parameters. Optimal models for wear rate and friction coefficient showed appropriate results that can be estimated, hence reducing wear testing time and cost. View Full-Text
Keywords: AA6063; fly ash; response surface methodology; tribological properties; wear rate; friction coefficient AA6063; fly ash; response surface methodology; tribological properties; wear rate; friction coefficient
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Mohammed Razzaq, A.; Majid, D.L.; Ishak, M.R.; Muwafaq Basheer, U. Mathematical Modeling and Analysis of Tribological Properties of AA6063 Aluminum Alloy Reinforced with Fly Ash by Using Response Surface Methodology. Crystals 2020, 10, 403.

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