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Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process

M. F. F., Ab Rashid and N. M. Z., Nik Mohamed and A. N., Mohd Rose and S. A., Che Ghani and W. S., Wan Harun (2015) Implementation of Ant Colony Optimization Algorithm to Minimize Cost of Turning Process. Applied Mechanics and Materials, 695. pp. 558-561. ISSN 1662-7482

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Abstract

In machining process, turning is one of process that were significantly change by introduction of computer numerical control (CNC). However, the process improvement is not stopping there, but the focused has change to reduce the machining cost. Improper parameter selection will caused vibration in cutting, unsecure workpiece, unappealing finishing and cost consuming. Therefore, the optimum parameter setting is required because it related to certain quality characteristics such as the unit production cost. This paper presents the study to minimize production cost for CNC turning process by using Ant Colony Optimization (ACO). The result shows that, the ACO was capable to search for optimum production cost in shorter time compare to other methods, including Genetic Algorithm.

Item Type: Article
Uncontrolled Keywords: CNC Turning, Ant Colony Optimization, roughing cut
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 05 Nov 2014 07:28
Last Modified: 06 Sep 2016 06:42
URI: http://umpir.ump.edu.my/id/eprint/7439
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