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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Format: | Article |
Language: | English |
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Mouloud Mammeri University of Tizi-Ouzou
2020-11-01
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Series: | Journal of Materials and Engineering Structures |
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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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institution | Directory Open Access Journal |
issn | 2170-127X |
language | English |
last_indexed | 2024-12-14T04:55:46Z |
publishDate | 2020-11-01 |
publisher | Mouloud Mammeri University of Tizi-Ouzou |
record_format | Article |
series | Journal of Materials and Engineering Structures |
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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