Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm
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 im...
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| Online Access: | http://irep.iium.edu.my/30208/ http://irep.iium.edu.my/30208/ http://irep.iium.edu.my/30208/1/06516365.pdf |
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iium-302082013-09-18T08:29:57Z http://irep.iium.edu.my/30208/ Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm Al Hazza, Muataz Adesta, Erry Yulian Triblas Superianto, M. Y. Riza, Muhammad TS200 Metal manufactures. Metalworking 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 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/30208/1/06516365.pdf 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. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6516365&queryText%3DCutting+Temperature+and+Surface+Roughness+Optimization+in+CNC+End+Milling++Using+Multi+Objective+Genetic+Algorithm |
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Digital Repository |
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Local University |
| institution |
International Islamic University Malaysia |
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IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TS200 Metal manufactures. Metalworking |
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TS200 Metal manufactures. Metalworking Al Hazza, Muataz Adesta, Erry Yulian Triblas Superianto, M. Y. Riza, Muhammad Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| description |
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 |
| format |
Conference or Workshop Item |
| author |
Al Hazza, Muataz Adesta, Erry Yulian Triblas Superianto, M. Y. Riza, Muhammad |
| author_facet |
Al Hazza, Muataz Adesta, Erry Yulian Triblas Superianto, M. Y. Riza, Muhammad |
| author_sort |
Al Hazza, Muataz |
| title |
Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| title_short |
Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| title_full |
Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| title_fullStr |
Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| title_full_unstemmed |
Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm |
| title_sort |
cutting temperature and surface roughness optimization in cnc end milling using multi objective genetic algorithm |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/30208/ http://irep.iium.edu.my/30208/ http://irep.iium.edu.my/30208/1/06516365.pdf |
| first_indexed |
2023-09-18T20:44:20Z |
| last_indexed |
2023-09-18T20:44:20Z |
| _version_ |
1777409574199885824 |