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

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)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Ant Colony Optimization; Milling Optimization; Multi-Pass Milling; Pocket Milling
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Dr. Mohd Fadzil Faisae Ab. Rashid
Date Deposited: 21 Oct 2014 06:04
Last Modified: 31 Jan 2018 07:34
URI: http://umpir.ump.edu.my/id/eprint/7003
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