Minimizing machining airtime motion with an ant colony algorithm

In machining operations, repositioning the cutting tool requires airtime motion of the cutting tool. Minimizing the airtime motion during pocket machining in mass production is important for increasing the efficiencies of the machining process. This paper presents an optimization of airtime motio...

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Main Authors: Abdullah, Haslina, Ramli, Rizauddin, Abd Wahab, Dzuraidah, Abu Qudeiri, Jaber
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:http://eprints.uthm.edu.my/4499/
http://eprints.uthm.edu.my/4499/1/AJ%202016%20%2849%29.pdf
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author Abdullah, Haslina
Ramli, Rizauddin
Abd Wahab, Dzuraidah
Abu Qudeiri, Jaber
author_facet Abdullah, Haslina
Ramli, Rizauddin
Abd Wahab, Dzuraidah
Abu Qudeiri, Jaber
author_sort Abdullah, Haslina
building UTHM Institutional Repository
collection Online Access
description In machining operations, repositioning the cutting tool requires airtime motion of the cutting tool. Minimizing the airtime motion during pocket machining in mass production is important for increasing the efficiencies of the machining process. This paper presents an optimization of airtime motion during contour parallel offset machining by minimizing the tool retraction based on Ant Colony Optimization (ACO). Optimization of the tool retraction is modelled as an application of the Travelling Salesman Problem (TSP). To evaluate the performance of ACO, its result for the length of the non-productive tool path is compared with that of conventional computer-aided manufacturing (CAM) software. It is found that the ACO method produces a non-productive tool path length that is approximately 60% shorter than the conventional method.
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institution Universiti Tun Hussein Onn Malaysia
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spelling uthm-44992021-12-07T04:22:13Z http://eprints.uthm.edu.my/4499/ Minimizing machining airtime motion with an ant colony algorithm Abdullah, Haslina Ramli, Rizauddin Abd Wahab, Dzuraidah Abu Qudeiri, Jaber T Technology (General) TJ1125-1345 Machine shops and machine shop practice In machining operations, repositioning the cutting tool requires airtime motion of the cutting tool. Minimizing the airtime motion during pocket machining in mass production is important for increasing the efficiencies of the machining process. This paper presents an optimization of airtime motion during contour parallel offset machining by minimizing the tool retraction based on Ant Colony Optimization (ACO). Optimization of the tool retraction is modelled as an application of the Travelling Salesman Problem (TSP). To evaluate the performance of ACO, its result for the length of the non-productive tool path is compared with that of conventional computer-aided manufacturing (CAM) software. It is found that the ACO method produces a non-productive tool path length that is approximately 60% shorter than the conventional method. 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4499/1/AJ%202016%20%2849%29.pdf Abdullah, Haslina and Ramli, Rizauddin and Abd Wahab, Dzuraidah and Abu Qudeiri, Jaber (2016) Minimizing machining airtime motion with an ant colony algorithm. The International Journal of Advanced Manufacturing Technology, 10 (1). pp. 161-165. ISSN 1881-803X
spellingShingle T Technology (General)
TJ1125-1345 Machine shops and machine shop practice
Abdullah, Haslina
Ramli, Rizauddin
Abd Wahab, Dzuraidah
Abu Qudeiri, Jaber
Minimizing machining airtime motion with an ant colony algorithm
title Minimizing machining airtime motion with an ant colony algorithm
title_full Minimizing machining airtime motion with an ant colony algorithm
title_fullStr Minimizing machining airtime motion with an ant colony algorithm
title_full_unstemmed Minimizing machining airtime motion with an ant colony algorithm
title_short Minimizing machining airtime motion with an ant colony algorithm
title_sort minimizing machining airtime motion with an ant colony algorithm
topic T Technology (General)
TJ1125-1345 Machine shops and machine shop practice
url http://eprints.uthm.edu.my/4499/
http://eprints.uthm.edu.my/4499/1/AJ%202016%20%2849%29.pdf