Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization

In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and...

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Main Authors:	M. F. F., Ab Rashid, W. S., Wan Harun, S. A., Che Ghani, N. M. Z., Nik Mohamed, Ahmad Nasser, Mohd Rose
Format:	Article
Language:	English
Published:	Trans Tech Publications, Switzerland 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/1/fkm-2014-mff-Optimization%20of%20Multi-Pass%20Pocket%20Milling.pdf

id	ump-7003
recordtype	eprints
spelling	ump-70032018-01-31T07:34:32Z http://umpir.ump.edu.my/id/eprint/7003/ Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization M. F. F., Ab Rashid W. S., Wan Harun S. A., Che Ghani N. M. Z., Nik Mohamed Ahmad Nasser, Mohd Rose TJ Mechanical engineering and machinery In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification. Trans Tech Publications, Switzerland 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7003/1/fkm-2014-mff-Optimization%20of%20Multi-Pass%20Pocket%20Milling.pdf M. F. F., Ab Rashid and W. S., Wan Harun and S. A., Che Ghani and N. M. Z., Nik Mohamed and Ahmad Nasser, Mohd Rose (2014) Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization. Advanced Materials Research, 1043. pp. 65-70. ISSN 1022-6680 (print); 1662-8985 (online) http://www.scientific.net/AMR.1043.65 DOI: 10.4028/www.scientific.net/AMR.1043.65
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 M. F. F., Ab Rashid W. S., Wan Harun S. A., Che Ghani N. M. Z., Nik Mohamed Ahmad Nasser, Mohd Rose Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
description	In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification.
format	Article
author	M. F. F., Ab Rashid W. S., Wan Harun S. A., Che Ghani N. M. Z., Nik Mohamed Ahmad Nasser, Mohd Rose
author_facet	M. F. F., Ab Rashid W. S., Wan Harun S. A., Che Ghani N. M. Z., Nik Mohamed Ahmad Nasser, Mohd Rose
author_sort	M. F. F., Ab Rashid
title	Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_short	Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_full	Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_fullStr	Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_full_unstemmed	Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_sort	optimization of multi-pass pocket milling parameter using ant colony optimization
publisher	Trans Tech Publications, Switzerland
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/ http://umpir.ump.edu.my/id/eprint/7003/1/fkm-2014-mff-Optimization%20of%20Multi-Pass%20Pocket%20Milling.pdf
first_indexed	2023-09-18T22:03:14Z
last_indexed	2023-09-18T22:03:14Z
_version_	1777414537743433728

Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization

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