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...

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Published in:Journal of Mines, Metals and Fuels
Main Author: Noor R.M.; Ramli M.I.; Zubair A.F.; Hemdi A.R.; Kataraki P.
Format: Article
Language:English
Published: Informatics Publishing Limited and Books and Journals Private Ltd 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204797937&doi=10.18311%2fjmmf%2f2021%2f30149&partnerID=40&md5=430f49eb97f10b40ce7f19947ceae857
id 2-s2.0-85204797937
spelling 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
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