Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm

Al Hazza, Muataz and Adesta, Erry Yulian Triblas and Superianto, M. Y. and Riza, Muhammad (2012) Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm. In: 2012 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2012, 26 - 28 November 2012, Kuala Lumpur.

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Abstract

Machining of hard materials at high cutting speeds produces high temperatures in the cutting zone, which affects the surface quality. Thus, developing a model for estimating the cutting parameters and optimizing this model to minimize the cutting temperatures and surface roughness becomes utmost important to avoid any damage to the quality surface.This paper presents the development of new models and optimizing these models of machining parameters to minimize the cutting temperature in end milling process by integrating the genetic algorithm (GA) with the statistical approach. The mathematical models for the cutting temperature and surface roughness parameters have been developed, in terms of cutting speed, feed rate, and axial depth of cut by using Response Methodology Method (RSM). Two objectives have been considered, minimum cutting temperature and minimum arithmetic mean roughness (Ra). Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA) has been applied to resolve the problem, and the results have been analyzed

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6852/30208 (ISBN: 978-1-4673-5832-3)
Uncontrolled Keywords:	Optimization, MOGA, temperature, surface roughness, AISI H13. End milling
Subjects:	T Technology > TS Manufactures > TS200 Metal manufactures. Metalworking
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr Muataz Hazza Alhazza
Date Deposited:	18 Sep 2013 16:29
Last Modified:	18 Sep 2013 16:29
URI:	http://irep.iium.edu.my/id/eprint/30208

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