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:en
Published: Trans Tech Publications, Switzerland 2014
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Online Access:http://umpir.ump.edu.my/id/eprint/7003/1/fkm-2014-mff-Optimization%20of%20Multi-Pass%20Pocket%20Milling.pdf
http://umpir.ump.edu.my/id/eprint/7003/
http://www.scientific.net/AMR.1043.65
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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
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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
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publishDate 2014
publisher Trans Tech Publications, Switzerland
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spelling my.ump.umpir.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). (Published) http://www.scientific.net/AMR.1043.65 DOI: 10.4028/www.scientific.net/AMR.1043.65
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
title 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_short Optimization of Multi-Pass Pocket Milling Parameter using Ant Colony Optimization
title_sort optimization of multi-pass pocket milling parameter using ant colony optimization
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/7003/1/fkm-2014-mff-Optimization%20of%20Multi-Pass%20Pocket%20Milling.pdf
http://umpir.ump.edu.my/id/eprint/7003/
http://www.scientific.net/AMR.1043.65
url_provider http://umpir.ump.edu.my/