Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm

Power consumption cost is one of the main integral parts of the total machining cost, but it has not given the proper attention when minimizing the machining cost. In this paper, the optimal machining parameters for continuous machining are determined with respect to the minimum power consumption co...

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Main Authors: Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Riza, Muhammad, Suprianto, Mohamad Yuhan
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2012
Subjects:
Online Access:http://irep.iium.edu.my/30271/
http://irep.iium.edu.my/30271/1/AMR.576.95.pdf
id iium-30271
recordtype eprints
spelling iium-302712013-06-25T07:31:23Z http://irep.iium.edu.my/30271/ Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Riza, Muhammad Suprianto, Mohamad Yuhan T Technology (General) Power consumption cost is one of the main integral parts of the total machining cost, but it has not given the proper attention when minimizing the machining cost. In this paper, the optimal machining parameters for continuous machining are determined with respect to the minimum power consumption cost with maintaining the surface roughness in the range of acceptance. The constraints considered in this research are cutting speed, feed rate, depth of cut and rake angle. Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA)was applied to resolve the problem, and the results have been analyzed. Trans Tech Publications, Switzerland 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30271/1/AMR.576.95.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas and Riza, Muhammad and Suprianto, Mohamad Yuhan (2012) Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm. Advanced Materials Research, 576. pp. 95-98. ISSN 1022-6680
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Al Hazza, Muataz Hazza Faizi
Adesta, Erry Yulian Triblas
Riza, Muhammad
Suprianto, Mohamad Yuhan
Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
description Power consumption cost is one of the main integral parts of the total machining cost, but it has not given the proper attention when minimizing the machining cost. In this paper, the optimal machining parameters for continuous machining are determined with respect to the minimum power consumption cost with maintaining the surface roughness in the range of acceptance. The constraints considered in this research are cutting speed, feed rate, depth of cut and rake angle. Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA)was applied to resolve the problem, and the results have been analyzed.
format Article
author Al Hazza, Muataz Hazza Faizi
Adesta, Erry Yulian Triblas
Riza, Muhammad
Suprianto, Mohamad Yuhan
author_facet Al Hazza, Muataz Hazza Faizi
Adesta, Erry Yulian Triblas
Riza, Muhammad
Suprianto, Mohamad Yuhan
author_sort Al Hazza, Muataz Hazza Faizi
title Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
title_short Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
title_full Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
title_fullStr Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
title_full_unstemmed Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
title_sort power consumption optimization in cnc turning process using multi objective genetic algorithm
publisher Trans Tech Publications, Switzerland
publishDate 2012
url http://irep.iium.edu.my/30271/
http://irep.iium.edu.my/30271/1/AMR.576.95.pdf
first_indexed 2023-09-18T20:44:26Z
last_indexed 2023-09-18T20:44:26Z
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