Minimizing machining airtime motion with an ant colony algorithm

Haslina Abdullah, Rizauddin Ramli, Dzuraidah Abd. Wahab, Jaber Abu Qudeiri

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)161-165
Number of pages5
JournalICIC Express Letters
Volume10
Issue number1
Publication statusPublished - 1 Jan 2016

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Ant colony optimization
Machining
Cutting tools
Traveling salesman problem
Computer aided manufacturing

Keywords

  • Ant colony optimization
  • Non-productive tool path length
  • Pocketing

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

Minimizing machining airtime motion with an ant colony algorithm. / Abdullah, Haslina; Ramli, Rizauddin; Abd. Wahab, Dzuraidah; Qudeiri, Jaber Abu.

In: ICIC Express Letters, Vol. 10, No. 1, 01.01.2016, p. 161-165.

Research output: Contribution to journalArticle

Abdullah, Haslina ; Ramli, Rizauddin ; Abd. Wahab, Dzuraidah ; Qudeiri, Jaber Abu. / Minimizing machining airtime motion with an ant colony algorithm. In: ICIC Express Letters. 2016 ; Vol. 10, No. 1. pp. 161-165.
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