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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4499/ http://eprints.uthm.edu.my/4499/1/AJ%202016%20%2849%29.pdf |
| Summary: | 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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