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Open AccessArticle

Response Ant Colony Optimization of End Milling Surface Roughness

Faculty of Mechanical Engineering, University Malaysia Pahang, Kuantan, 26300 UMP, Malaysia
Faculty of Electrical and Electronic Engineering, University Malaysia Pahang, Kuantan 26300 UMP, Malaysia
Author to whom correspondence should be addressed.
Sensors 2010, 10(3), 2054-2063;
Received: 24 January 2009 / Revised: 8 March 2010 / Accepted: 14 March 2010 / Published: 15 March 2010
(This article belongs to the Section Chemical Sensors)
PDF [366 KB, uploaded 21 June 2014]


Metal cutting processes are important due to increased consumer demands for quality metal cutting related products (more precise tolerances and better product surface roughness) that has driven the metal cutting industry to continuously improve quality control of metal cutting processes. This paper presents optimum surface roughness by using milling mould aluminium alloys (AA6061-T6) with Response Ant Colony Optimization (RACO). The approach is based on Response Surface Method (RSM) and Ant Colony Optimization (ACO). The main objectives to find the optimized parameters and the most dominant variables (cutting speed, feedrate, axial depth and radial depth). The first order model indicates that the feedrate is the most significant factor affecting surface roughness. View Full-Text
Keywords: response surface method; ant colony; aluminium alloys; surface roughness response surface method; ant colony; aluminium alloys; surface roughness
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Kadirgama, K.; Noor, M.M.; Alla, A.N.A. Response Ant Colony Optimization of End Milling Surface Roughness. Sensors 2010, 10, 2054-2063.

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