Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling
This study is an attempt to obtain a suitable combination of the milling parameters to optimize electrical power and material removal rate (MRR) in slot milling of aluminium 6061. Machining parameters of radial depth of cut (RDOC), feedrate (Fr) and axial depth of cut (ADOC) are optimized using high...
Published in: | Journal of Mines, Metals and Fuels |
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Language: | English |
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Informatics Publishing Limited and Books and Journals Private Ltd
2021
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204797937&doi=10.18311%2fjmmf%2f2021%2f30149&partnerID=40&md5=430f49eb97f10b40ce7f19947ceae857 |
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2-s2.0-85204797937 Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P. Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling 2021 Journal of Mines, Metals and Fuels 69 12 10.18311/jmmf/2021/30149 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204797937&doi=10.18311%2fjmmf%2f2021%2f30149&partnerID=40&md5=430f49eb97f10b40ce7f19947ceae857 This study is an attempt to obtain a suitable combination of the milling parameters to optimize electrical power and material removal rate (MRR) in slot milling of aluminium 6061. Machining parameters of radial depth of cut (RDOC), feedrate (Fr) and axial depth of cut (ADOC) are optimized using high efficiency milling cutting strategy. The results are analyzed through response surface and ANOVA for power and MRR. Response surface optimization shows that the optimized results are RDOC=48.8 mm, Fr=3000 mm/min, ADOC=6mm. The error between the predicted and the confirmation results is 4.3%. © 2021, Informatics Publishing Limited and Books and Journals Private Ltd. All rights reserved. Informatics Publishing Limited and Books and Journals Private Ltd 00222755 English Article All Open Access; Hybrid Gold Open Access |
author |
Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P. |
spellingShingle |
Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P. Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
author_facet |
Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P. |
author_sort |
Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P. |
title |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
title_short |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
title_full |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
title_fullStr |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
title_full_unstemmed |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
title_sort |
Optimization of cutting parameters to improve power consumption and material removal rate in high efficiency milling |
publishDate |
2021 |
container_title |
Journal of Mines, Metals and Fuels |
container_volume |
69 |
container_issue |
12 |
doi_str_mv |
10.18311/jmmf/2021/30149 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204797937&doi=10.18311%2fjmmf%2f2021%2f30149&partnerID=40&md5=430f49eb97f10b40ce7f19947ceae857 |
description |
This study is an attempt to obtain a suitable combination of the milling parameters to optimize electrical power and material removal rate (MRR) in slot milling of aluminium 6061. Machining parameters of radial depth of cut (RDOC), feedrate (Fr) and axial depth of cut (ADOC) are optimized using high efficiency milling cutting strategy. The results are analyzed through response surface and ANOVA for power and MRR. Response surface optimization shows that the optimized results are RDOC=48.8 mm, Fr=3000 mm/min, ADOC=6mm. The error between the predicted and the confirmation results is 4.3%. © 2021, Informatics Publishing Limited and Books and Journals Private Ltd. All rights reserved. |
publisher |
Informatics Publishing Limited and Books and Journals Private Ltd |
issn |
00222755 |
language |
English |
format |
Article |
accesstype |
All Open Access; Hybrid Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778505071689728 |