Optimization of milling parameters using ant colony optimization

Mohd Saupi, Mohd Sauki (2008) Optimization of milling parameters using ant colony optimization. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.

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Abstract

In process planning of conventional milling, selecting reasonable milling parameters is necessary to satisfy requirements involving machining economics, quality and safety. This study is to develop optimization procedures based on the Ant Colony Optimization (ACO). This method was demonstrated for the optimization of machining parameters for milling operation. The machining parameters in milling operations consist of cutting speed, feed rate and depth of cut. These machining parameters significantly impact on the cost, productivity and quality of machining parts. The developed strategy based on the maximize production rate criterion. This study describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. The ACO simulation is develop to achieve the objective to optimize milling parameters to maximize the production rate in milling operation. The Matlab software will be use to develop the ACO simulation. All the references are taken from related articles, journals and books. An example to apply the Ant Colony Algorithm to the problem has been presented at the end of the paper to give clear picture from the application of the system and its efficiency. The result obtained from this simulation will compare with another method like Genetic Algorithm (GA) and Linear Programming Technique (LPT) to validation. The simulation based on ACO algorithm are successful develop and the optimization of parameters values is to maximize the production rate is obtain from the simulation.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008. SV: MOHD FADZIL FAISAE BIN AB RASHID. CD NO. 3384
Uncontrolled Keywords: Machine-tools -- Numerical control; Machine-tools -- Programmning
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs Nazatul Shima Baroji
Date Deposited: 02 Apr 2010 02:27
Last Modified: 19 Oct 2023 06:52
URI: http://umpir.ump.edu.my/id/eprint/260
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