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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/23307/1/Multi-responses%20optimization%20in%20dry%20turning1.pdf
http://umpir.ump.edu.my/id/eprint/23307/
https://doi.org/10.1007/s00170-018-1668-8
https://doi.org/10.1007/s00170-018-1668-8
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spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/23307/1/Multi-responses%20optimization%20in%20dry%20turning1.pdf
http://umpir.ump.edu.my/id/eprint/23307/
https://doi.org/10.1007/s00170-018-1668-8
https://doi.org/10.1007/s00170-018-1668-8
_version_ 1648741142078947328
score 13.211869

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