Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost
Reducing energy consumption and machining cost under dry conditions should be considered for sustainable machining. The selection of cutting parameters is an important task for dry turning steel and has a significant influence on energy consumption and operation cost. In this work, the influence of...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2018
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/13/Sustainable%20optimization%20of%20dry%20turning%20of%20stainless%20steel.pdf |
id |
ump-22210 |
---|---|
recordtype |
eprints |
spelling |
ump-222102019-10-15T08:01:38Z http://umpir.ump.edu.my/id/eprint/22210/ Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost Bagaber, Salem Abdullah A. R., Yusoff TS Manufactures Reducing energy consumption and machining cost under dry conditions should be considered for sustainable machining. The selection of cutting parameters is an important task for dry turning steel and has a significant influence on energy consumption and operation cost. In this work, the influence of cutting parameters, namely, cutting speed, feed rate, and depth of cut, on energy, cost, and tool wear are first analyzed. A multi-response parameter is then optimized to minimize energy and machining cost, and this parameter is solved using the NSGA II algorithm. Finally, a confirmation validation test is conducted to validate the proposed model. This method also effectively reduces environmental effects by using noncutting fluid and requiring less energy than other methods, and this reduction results in sustainable machining. © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the International Scientific Committee of the 8th CIRP Conference on High Performance Cutting (HPC 2018). Elsevier 2018 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/22210/13/Sustainable%20optimization%20of%20dry%20turning%20of%20stainless%20steel.pdf Bagaber, Salem Abdullah and A. R., Yusoff (2018) Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost. Procedia CIRP, 77. pp. 397-400. ISSN 2212-8271 https://doi.org/10.1016/j.procir.2018.08.300 https://doi.org/10.1016/j.procir.2018.08.300 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TS Manufactures |
spellingShingle |
TS Manufactures Bagaber, Salem Abdullah A. R., Yusoff Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
description |
Reducing energy consumption and machining cost under dry conditions should be considered for sustainable machining. The selection of cutting parameters is an important task for dry turning steel and has a significant influence on energy consumption and operation cost. In this work, the influence of cutting parameters, namely, cutting speed, feed rate, and depth of cut, on energy, cost, and tool wear are first analyzed. A multi-response parameter is then optimized to minimize energy and machining cost, and this parameter is solved using the NSGA II algorithm. Finally, a confirmation validation test is conducted to validate the proposed model. This method also effectively reduces environmental effects by using noncutting fluid and requiring less energy than other methods, and this reduction results in sustainable machining. © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the International Scientific Committee of the 8th CIRP Conference on High Performance Cutting (HPC 2018). |
format |
Article |
author |
Bagaber, Salem Abdullah A. R., Yusoff |
author_facet |
Bagaber, Salem Abdullah A. R., Yusoff |
author_sort |
Bagaber, Salem Abdullah |
title |
Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
title_short |
Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
title_full |
Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
title_fullStr |
Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
title_full_unstemmed |
Sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
title_sort |
sustainable optimization of dry turning of stainless steel based on energy consumption and machining cost |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/ http://umpir.ump.edu.my/id/eprint/22210/13/Sustainable%20optimization%20of%20dry%20turning%20of%20stainless%20steel.pdf |
first_indexed |
2023-09-18T22:32:56Z |
last_indexed |
2023-09-18T22:32:56Z |
_version_ |
1777416406576398336 |