Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy

The machining of stainless steel is of interest because of its corrosion resistance and high strength. Usually, this process involves the application of cutting fluids, which negatively affect the environment, ecologic, and health impacts. Therefore, dry machining is the optimum solution, when appli...

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Main Authors:	Bagaber, Salem Abdullah, A. R., Yusoff
Format:	Article
Language:	English
Published:	Springer-Verlag 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/1/Multi-responses%20optimization%20in%20dry%20turning1.pdf

id	ump-23307
recordtype	eprints
spelling	ump-233072019-10-15T08:01:16Z http://umpir.ump.edu.my/id/eprint/23307/ Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy Bagaber, Salem Abdullah A. R., Yusoff TJ Mechanical engineering and machinery The machining of stainless steel is of interest because of its corrosion resistance and high strength. Usually, this process involves the application of cutting fluids, which negatively affect the environment, ecologic, and health impacts. Therefore, dry machining is the optimum solution, when applicable. Moreover, due to the high cost of cubic boron nitride (CBN) cutting edge, the improved performance is important for hard finish turning. Reducing energy consumption under dry condition should consider for sustainable machining. This study aims to optimize machining parameters (i.e. power consumption and surface roughness) of stainless steel 316 with CBN tool under dry conditions. A multi-responses based on response surface methodology with Box-Behnken design (BBD) was employed to optimize machining parameters. A compound desirability function was applied to determine optimum levels and contribution of parameters. A validation test was conducted to confirm results. This combination of parameters resulted in the minimum power consumption of 6.78% and decreased surface roughness by 13.89%. This method also effectively reduces the environmental effects in terms of noncutting fluid use and less energy required which is affected in sustainable of machining. Springer-Verlag 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23307/1/Multi-responses%20optimization%20in%20dry%20turning1.pdf Bagaber, Salem Abdullah and A. R., Yusoff (2018) Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy. The International Journal of Advanced Manufacturing Technology, 96 (1-4). pp. 1109-1122. ISSN 0268-3768 (Print), 1433-3015 (Online) https://doi.org/10.1007/s00170-018-1668-8 https://doi.org/10.1007/s00170-018-1668-8
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-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
description	The machining of stainless steel is of interest because of its corrosion resistance and high strength. Usually, this process involves the application of cutting fluids, which negatively affect the environment, ecologic, and health impacts. Therefore, dry machining is the optimum solution, when applicable. Moreover, due to the high cost of cubic boron nitride (CBN) cutting edge, the improved performance is important for hard finish turning. Reducing energy consumption under dry condition should consider for sustainable machining. This study aims to optimize machining parameters (i.e. power consumption and surface roughness) of stainless steel 316 with CBN tool under dry conditions. A multi-responses based on response surface methodology with Box-Behnken design (BBD) was employed to optimize machining parameters. A compound desirability function was applied to determine optimum levels and contribution of parameters. A validation test was conducted to confirm results. This combination of parameters resulted in the minimum power consumption of 6.78% and decreased surface roughness by 13.89%. This method also effectively reduces the environmental effects in terms of noncutting fluid use and less energy required which is affected in sustainable of machining.
format	Article
author	Bagaber, Salem Abdullah A. R., Yusoff
author_facet	Bagaber, Salem Abdullah A. R., Yusoff
author_sort	Bagaber, Salem Abdullah
title	Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
title_short	Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
title_full	Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
title_fullStr	Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
title_full_unstemmed	Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
title_sort	multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy
publisher	Springer-Verlag
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/ http://umpir.ump.edu.my/id/eprint/23307/1/Multi-responses%20optimization%20in%20dry%20turning1.pdf
first_indexed	2023-09-18T22:34:50Z
last_indexed	2023-09-18T22:34:50Z
_version_	1777416525981941760

Multi-responses optimization in dry turning of a stainless steel as a key factor in minimum energy

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