An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites

Dry sliding wear plays an important role in selecting material for automotive and aerospace applications. Researchers have been exploring novel aluminum matrix composites (AMC), which offer minimum wear rate for various tribological applications. The present work involves multi-objective optimizatio...

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Autor principal:	P. MUTHU
Formato:	article
Lenguaje:	EN
Publicado:	National Institute for Aerospace Research “Elie Carafoli” - INCAS 2021
Materias:	aluminum matrix composites taguchi method grey relational analysis principal component analysis anova Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/a981e29cd0ee46639a22c25d7cebf563
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spelling	oai:doaj.org-article:a981e29cd0ee46639a22c25d7cebf5632021-12-05T21:29:09ZAn investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites10.13111/2066-8201.2021.13.4.122066-82012247-4528https://doaj.org/article/a981e29cd0ee46639a22c25d7cebf5632021-12-01T00:00:00Zhttps://bulletin.incas.ro/files/muthu__vol_13_iss_4.pdfhttps://doaj.org/toc/2066-8201https://doaj.org/toc/2247-4528Dry sliding wear plays an important role in selecting material for automotive and aerospace applications. Researchers have been exploring novel aluminum matrix composites (AMC), which offer minimum wear rate for various tribological applications. The present work involves multi-objective optimization for dry sliding wear behavior of Al6061 reinforced with 6 % of Titanium carbide and 4% of basalt hybrid metal matrix composites using principal component analysis (PCA)-based grey relational analysis (GRA). In this article, the effects of input variables of wear parameters such as applied load, sliding speed and sliding distance were investigated on different output responses, namely the wear rate, friction force and specific wear rate. Taguchi’s L9 orthogonal array with three-level settings was chosen for conducting experiments. Three output responses in each experiment were normalized into a weighted grey relational grade using grey relational analysis coupled with the principal component analysis. The analysis of variance indicated that sliding distance is the most influential parameter followed by load and sliding velocity that contributes to the quality characteristics. Optimal results have been verified through additional experiments.P. MUTHUNational Institute for Aerospace Research “Elie Carafoli” - INCASarticlealuminum matrix compositestaguchi methodgrey relational analysisprincipal component analysisanovaMotor vehicles. Aeronautics. AstronauticsTL1-4050ENINCAS Bulletin, Vol 13, Iss 4, Pp 139-150 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aluminum matrix composites taguchi method grey relational analysis principal component analysis anova Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	aluminum matrix composites taguchi method grey relational analysis principal component analysis anova Motor vehicles. Aeronautics. Astronautics TL1-4050 P. MUTHU An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
description	Dry sliding wear plays an important role in selecting material for automotive and aerospace applications. Researchers have been exploring novel aluminum matrix composites (AMC), which offer minimum wear rate for various tribological applications. The present work involves multi-objective optimization for dry sliding wear behavior of Al6061 reinforced with 6 % of Titanium carbide and 4% of basalt hybrid metal matrix composites using principal component analysis (PCA)-based grey relational analysis (GRA). In this article, the effects of input variables of wear parameters such as applied load, sliding speed and sliding distance were investigated on different output responses, namely the wear rate, friction force and specific wear rate. Taguchi’s L9 orthogonal array with three-level settings was chosen for conducting experiments. Three output responses in each experiment were normalized into a weighted grey relational grade using grey relational analysis coupled with the principal component analysis. The analysis of variance indicated that sliding distance is the most influential parameter followed by load and sliding velocity that contributes to the quality characteristics. Optimal results have been verified through additional experiments.
format	article
author	P. MUTHU
author_facet	P. MUTHU
author_sort	P. MUTHU
title	An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
title_short	An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
title_full	An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
title_fullStr	An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
title_full_unstemmed	An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites
title_sort	investigation on dry sliding wear behavior of al6061/ titanium carbide/ basalt hybrid metal matrix composites
publisher	National Institute for Aerospace Research “Elie Carafoli” - INCAS
publishDate	2021
url	https://doaj.org/article/a981e29cd0ee46639a22c25d7cebf563
work_keys_str_mv	AT pmuthu aninvestigationondryslidingwearbehaviorofal6061titaniumcarbidebasalthybridmetalmatrixcomposites AT pmuthu investigationondryslidingwearbehaviorofal6061titaniumcarbidebasalthybridmetalmatrixcomposites
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An investigation on dry sliding wear behavior of Al6061/ Titanium carbide/ Basalt hybrid metal matrix composites

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