Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316

The machinability of stainless steel has attracted considerable interest because of its high strength and corrosion resistance. Cutting fluids-based oil are the most unsustainable elements of machining processes, it is negatively affect the environmental impact of a process. Therefore, dry machining...

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Main Authors:	Bagaber, Salem Abdullah, A. R., Yusoff
Format:	Article
Language:	English
Published:	Elsevier 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/17678/ http://umpir.ump.edu.my/id/eprint/17678/ http://umpir.ump.edu.my/id/eprint/17678/1/fkp-2017-razlan-Multi-objective%20optimization%20of%20cutting%20parameter1.pdf

id	ump-17678
recordtype	eprints
spelling	ump-176782019-10-15T08:02:04Z http://umpir.ump.edu.my/id/eprint/17678/ Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316 Bagaber, Salem Abdullah A. R., Yusoff TJ Mechanical engineering and machinery The machinability of stainless steel has attracted considerable interest because of its high strength and corrosion resistance. Cutting fluids-based oil are the most unsustainable elements of machining processes, it is negatively affect the environmental impact of a process. Therefore, dry machining is the optimum solution, when applicable. Reducing energy consumption and using low-cost cutting tools under dry condition should considered for sustainable machining. Therefore, this study aims to optimize machining parameters, including power consumption and the traditional machining responses of surface roughness and tool wear. Stainless steel was turned with an uncoated carbide tool under dry conditions. A multi-objective optimization method of Response surface methodology was employed to optimize machining parameters. The significant contribution of parameters was determined on the basis of compound desirability value, and optimal levels of the parameters were identified. A confirmation test was conducted to validate results. This combination of parameters resulted in the minimum power consumption of 14.94% and decreased surface roughness and tool wear by 4.71% and 13.98%, respectively. Therefore, this method also effectively reduces the effects and costs of the machining process. Elsevier 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17678/1/fkp-2017-razlan-Multi-objective%20optimization%20of%20cutting%20parameter1.pdf Bagaber, Salem Abdullah and A. R., Yusoff (2017) Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316. Journal of Cleaner Production, 157. pp. 30-46. ISSN 0959-6526 (print), 1879-1786 (online) https://doi.org/10.1016/j.jclepro.2017.03.231
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Bagaber, Salem Abdullah A. R., Yusoff Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
description	The machinability of stainless steel has attracted considerable interest because of its high strength and corrosion resistance. Cutting fluids-based oil are the most unsustainable elements of machining processes, it is negatively affect the environmental impact of a process. Therefore, dry machining is the optimum solution, when applicable. Reducing energy consumption and using low-cost cutting tools under dry condition should considered for sustainable machining. Therefore, this study aims to optimize machining parameters, including power consumption and the traditional machining responses of surface roughness and tool wear. Stainless steel was turned with an uncoated carbide tool under dry conditions. A multi-objective optimization method of Response surface methodology was employed to optimize machining parameters. The significant contribution of parameters was determined on the basis of compound desirability value, and optimal levels of the parameters were identified. A confirmation test was conducted to validate results. This combination of parameters resulted in the minimum power consumption of 14.94% and decreased surface roughness and tool wear by 4.71% and 13.98%, respectively. Therefore, this method also effectively reduces the effects and costs of the machining process.
format	Article
author	Bagaber, Salem Abdullah A. R., Yusoff
author_facet	Bagaber, Salem Abdullah A. R., Yusoff
author_sort	Bagaber, Salem Abdullah
title	Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
title_short	Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
title_full	Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
title_fullStr	Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
title_full_unstemmed	Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316
title_sort	multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316
publisher	Elsevier
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17678/ http://umpir.ump.edu.my/id/eprint/17678/ http://umpir.ump.edu.my/id/eprint/17678/1/fkp-2017-razlan-Multi-objective%20optimization%20of%20cutting%20parameter1.pdf
first_indexed	2023-09-18T22:24:34Z
last_indexed	2023-09-18T22:24:34Z
_version_	1777415880074854400

Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316

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