Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.

In the present work, aluminium alloy 6063 reinforced with various weight percentages of corncob ash (CCA) particles (2.5%, 5%, 7.5%, 10%, 12.5% and 15%) were prepared using stir casting process.  Some physical and mechanical properties (density, % porosity, hardness, wear index, tensile strength and...

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Main Authors: Benjamin Ufuoma ODONI, Francis Odikpo EDOZIUNO, Cynthia Chinasa NWAEJU, Richard O. AKALUZIA
Format: Article
Language:English
Published: Mouloud Mammeri University of Tizi-Ouzou 2020-11-01
Series:Journal of Materials and Engineering Structures
Subjects:
Online Access:http://revue.ummto.dz/index.php/JMES/article/view/2409
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author Benjamin Ufuoma ODONI
Francis Odikpo EDOZIUNO
Cynthia Chinasa NWAEJU
Richard O. AKALUZIA
author_facet Benjamin Ufuoma ODONI
Francis Odikpo EDOZIUNO
Cynthia Chinasa NWAEJU
Richard O. AKALUZIA
author_sort Benjamin Ufuoma ODONI
collection DOAJ
description In the present work, aluminium alloy 6063 reinforced with various weight percentages of corncob ash (CCA) particles (2.5%, 5%, 7.5%, 10%, 12.5% and 15%) were prepared using stir casting process.  Some physical and mechanical properties (density, % porosity, hardness, wear index, tensile strength and impact strength) of the produced composite were characterized and compared with that of the matrix alloy.  Corncob ash reinforcements were observed to have been distributed homogeneously in the Aluminium Matrix with pockets of reinforcement particles agglomeration. The reinforcement of CCA particles improved the hardness, wear index and the density of the produced composite over that of the base alloy. There was a reduction in the tensile and impact strengths of the composites compared to the unreinforced matrix alloy. Statistical evaluation and optimization using mixture design of the Design-Expert software package (Stat-Ease) revealed the optimal concentrations of the matrix and the reinforcement mixture and their effects on the studied properties of the developed composites. Regression models were developed for predicting and optimizing the various physical and mechanical properties of the composites. Optimization solution indicates that optimal mixture components of 92.081 and 7.919% (matrix and reinforcement wt%) will yield optimal composite properties’ responses. Based on the improved hardness, wear-resistance and low density of the CCA reinforced AA6063 base composites produced could be employed in the production of automotive components requiring lightweight, load-bearing and wear-resistant composites.
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spelling doaj.art-56b72b2bc4174e7a920e8b2041bc6dc02022-12-21T23:16:23ZengMouloud Mammeri University of Tizi-OuzouJournal of Materials and Engineering Structures2170-127X2020-11-01734514651698Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.Benjamin Ufuoma ODONI0Francis Odikpo EDOZIUNO1Cynthia Chinasa NWAEJU2Richard O. AKALUZIA3Department of Metallurgical Engineering, Delta State Polytechnic, P.M.B. 1030, Ogwashi-Uku, Delta State, NigeriaDepartment of Metallurgical Engineering, Delta State Polytechnic, P.M.B. 1030 Ogwashi-Uku, Delta State, Nigeria.Department of Mechanical Engineering, Nigerian Maritime University, Okerenkoko, Delta State, NigeriaDepartment of Metallurgical Engineering, Delta State Polytechnic, P.M.B. 1030 Ogwashi-Uku, Delta State, Nigeria.In the present work, aluminium alloy 6063 reinforced with various weight percentages of corncob ash (CCA) particles (2.5%, 5%, 7.5%, 10%, 12.5% and 15%) were prepared using stir casting process.  Some physical and mechanical properties (density, % porosity, hardness, wear index, tensile strength and impact strength) of the produced composite were characterized and compared with that of the matrix alloy.  Corncob ash reinforcements were observed to have been distributed homogeneously in the Aluminium Matrix with pockets of reinforcement particles agglomeration. The reinforcement of CCA particles improved the hardness, wear index and the density of the produced composite over that of the base alloy. There was a reduction in the tensile and impact strengths of the composites compared to the unreinforced matrix alloy. Statistical evaluation and optimization using mixture design of the Design-Expert software package (Stat-Ease) revealed the optimal concentrations of the matrix and the reinforcement mixture and their effects on the studied properties of the developed composites. Regression models were developed for predicting and optimizing the various physical and mechanical properties of the composites. Optimization solution indicates that optimal mixture components of 92.081 and 7.919% (matrix and reinforcement wt%) will yield optimal composite properties’ responses. Based on the improved hardness, wear-resistance and low density of the CCA reinforced AA6063 base composites produced could be employed in the production of automotive components requiring lightweight, load-bearing and wear-resistant composites.http://revue.ummto.dz/index.php/JMES/article/view/2409compositesaluminium alloy aa6063corn cobmixture design
spellingShingle Benjamin Ufuoma ODONI
Francis Odikpo EDOZIUNO
Cynthia Chinasa NWAEJU
Richard O. AKALUZIA
Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
Journal of Materials and Engineering Structures
composites
aluminium alloy aa6063
corn cob
mixture design
title Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
title_full Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
title_fullStr Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
title_full_unstemmed Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
title_short Experimental analysis, predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash.
title_sort experimental analysis predictive modelling and optimization of some physical and mechanical properties of aluminium 6063 alloy based composites reinforced with corn cob ash
topic composites
aluminium alloy aa6063
corn cob
mixture design
url http://revue.ummto.dz/index.php/JMES/article/view/2409
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