Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis

Bio grease has gained increasing attention in recent years due to its promising benefits, which include being environmentally friendly, renewable, less toxic, and readily biodegradable. In recent years, numerous studies have been conducted to explore the potential of bio-based greases for industrial...

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Main Author:	Mohd Noh, Azhari
Format:	Thesis
Language:	English English
Published:	2023
Subjects:	T Technology (General) TP Chemical technology
Online Access:	http://eprints.utem.edu.my/id/eprint/27055/1/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf http://eprints.utem.edu.my/id/eprint/27055/2/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf
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spelling	my-utem-ep.270552024-01-16T10:59:32Z Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis 2023 Mohd Noh, Azhari T Technology (General) TP Chemical technology Bio grease has gained increasing attention in recent years due to its promising benefits, which include being environmentally friendly, renewable, less toxic, and readily biodegradable. In recent years, numerous studies have been conducted to explore the potential of bio-based greases for industrial applications. This study aimed to create a novel bio-based gease with.a viscosity comparable to a commercial, industrial lubricant. A multi-optimization strategy was utilized to achieve this goal, specifically the Taguchi methodology with grey relational analysis. A total of nine different samples were produced by combining non-edible base oils and different percentages of beeswax thickener and hBN. additives. The optimal blend was then tested for its coefficient of friction and time durability. A greater endurance over time will reflect reliability for application, especially in robust industries. The study employed the Taguchi optimization technique with grey relational analysis to evaluate how diverse design parameters influenced the friction coefficient. According to the findings, the optimal blend of ingredients was 92.5% castor oil, 5% beeswax thickener, and 2.5% hBN additives, resulting in the highest friction coefficient that falls within the range of conventional industrial lubricants. This study contributes to the growing body of research on bio base greases and their potential for industrial applications and demonstrates the effectiveness of a multi-optimization approach using Taguchi with Grey relational analysis. By pursuing this effort, developing and implementing innovative approaches centred on resource conservation will lead to a sustainable future where we can thrive without depleting our planet's limited resources. 2023 Thesis http://eprints.utem.edu.my/id/eprint/27055/ http://eprints.utem.edu.my/id/eprint/27055/1/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf text en public http://eprints.utem.edu.my/id/eprint/27055/2/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122682 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Mechanical Engineering Amiruddin, Hilmi
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Amiruddin, Hilmi
topic	T Technology (General) TP Chemical technology
spellingShingle	T Technology (General) TP Chemical technology Mohd Noh, Azhari Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
description	Bio grease has gained increasing attention in recent years due to its promising benefits, which include being environmentally friendly, renewable, less toxic, and readily biodegradable. In recent years, numerous studies have been conducted to explore the potential of bio-based greases for industrial applications. This study aimed to create a novel bio-based gease with.a viscosity comparable to a commercial, industrial lubricant. A multi-optimization strategy was utilized to achieve this goal, specifically the Taguchi methodology with grey relational analysis. A total of nine different samples were produced by combining non-edible base oils and different percentages of beeswax thickener and hBN. additives. The optimal blend was then tested for its coefficient of friction and time durability. A greater endurance over time will reflect reliability for application, especially in robust industries. The study employed the Taguchi optimization technique with grey relational analysis to evaluate how diverse design parameters influenced the friction coefficient. According to the findings, the optimal blend of ingredients was 92.5% castor oil, 5% beeswax thickener, and 2.5% hBN additives, resulting in the highest friction coefficient that falls within the range of conventional industrial lubricants. This study contributes to the growing body of research on bio base greases and their potential for industrial applications and demonstrates the effectiveness of a multi-optimization approach using Taguchi with Grey relational analysis. By pursuing this effort, developing and implementing innovative approaches centred on resource conservation will lead to a sustainable future where we can thrive without depleting our planet's limited resources.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohd Noh, Azhari
author_facet	Mohd Noh, Azhari
author_sort	Mohd Noh, Azhari
title	Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
title_short	Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
title_full	Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
title_fullStr	Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
title_full_unstemmed	Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
title_sort	multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Mechanical Engineering
publishDate	2023
url	http://eprints.utem.edu.my/id/eprint/27055/1/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf http://eprints.utem.edu.my/id/eprint/27055/2/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf
_version_	1794023203581984768

Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis

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