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...

Full description

Bibliographic Details
Main Author: Mohd Noh, Azhari
Format: Thesis
Language:English
English
Published: 2023
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/27055/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122682
Abstract Abstract here
_version_ 1855619810217426944
author Mohd Noh, Azhari
author_facet Mohd Noh, Azhari
author_sort Mohd Noh, Azhari
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
id utem-27055
institution Universiti Teknikal Malaysia Melaka
language English
English
publishDate 2023
record_format EPrints
record_pdf Restricted
spelling utem-270552024-01-16T10:59:32Z http://eprints.utem.edu.my/id/eprint/27055/ Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis 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 NonPeerReviewed text en 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 http://eprints.utem.edu.my/id/eprint/27055/2/Multi-objective%20optimization%20of%20bio-base%20grease%20using%20hybrid%20taguchi-grey%20relational%20analysis.pdf Mohd Noh, Azhari (2023) Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122682
spellingShingle T Technology (General)
TP Chemical technology
Mohd Noh, Azhari
Multi-objective optimization of bio-base grease using hybrid taguchi-grey relational analysis
thesis_level Master
title 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_short 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
topic T Technology (General)
TP Chemical technology
url http://eprints.utem.edu.my/id/eprint/27055/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122682
work_keys_str_mv AT mohdnohazhari multiobjectiveoptimizationofbiobasegreaseusinghybridtaguchigreyrelationalanalysis