Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6

The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi-objective genetic algorithm approach. Response surface methodology coupled with a central composite design of experiments is used for modeling. Data is collected...

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Main Authors:	Najiha, M. S., M. M., Rahman, K., Kadirgama, M. M., Noor, D., Ramasamy
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2015
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/1/fkm-2015-Najiha-Multi%20objective%20optimization-full.pdf

id	ump-11909
recordtype	eprints
spelling	ump-119092018-10-17T03:35:02Z http://umpir.ump.edu.my/id/eprint/11909/ Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6 Najiha, M. S. M. M., Rahman K., Kadirgama M. M., Noor D., Ramasamy TJ Mechanical engineering and machinery The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi-objective genetic algorithm approach. Response surface methodology coupled with a central composite design of experiments is used for modeling. Data is collected from a vertical CNC milling center and the input parameters are cutting speed, table feed rate, axial depth of cut and the minimum quantity lubrication flow rate. Analysis of variance at a 95% confidence level is implemented to identify the most significant input variables on the CNC end milling process. Optimization of the responses is done using a multi-objective genetic algorithm. A multi-criteria decision making utility is used to find among the feasible range of optimum designs for the operating parameters and the responses. An iterative multi-criteria decision making algorithm is used to find the best design among those obtained from multi- objective optimization with respect to the given conditions. The best design obtained for the equal weightage case is the design at 5252 rpm, with a feed rate of 311 mm/min, a depth of cut of 3.47 mm and MQL flow rate at 0.44 ml/min. Universiti Malaysia Pahang 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/11909/1/fkm-2015-Najiha-Multi%20objective%20optimization-full.pdf Najiha, M. S. and M. M., Rahman and K., Kadirgama and M. M., Noor and D., Ramasamy (2015) Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6. International Journal of Automotive and Mechanical Engineering (IJAME), 12. pp. 3003-3017. ISSN 1985-9325(Print); 2180-1606 (Online) http://ijame.ump.edu.my/images/Volume_12/15_%20Najiha%20et%20al.pdf DOI: 10.15282/ijame.12.2015.15.0250
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Najiha, M. S. M. M., Rahman K., Kadirgama M. M., Noor D., Ramasamy Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
description	The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi-objective genetic algorithm approach. Response surface methodology coupled with a central composite design of experiments is used for modeling. Data is collected from a vertical CNC milling center and the input parameters are cutting speed, table feed rate, axial depth of cut and the minimum quantity lubrication flow rate. Analysis of variance at a 95% confidence level is implemented to identify the most significant input variables on the CNC end milling process. Optimization of the responses is done using a multi-objective genetic algorithm. A multi-criteria decision making utility is used to find among the feasible range of optimum designs for the operating parameters and the responses. An iterative multi-criteria decision making algorithm is used to find the best design among those obtained from multi- objective optimization with respect to the given conditions. The best design obtained for the equal weightage case is the design at 5252 rpm, with a feed rate of 311 mm/min, a depth of cut of 3.47 mm and MQL flow rate at 0.44 ml/min.
format	Article
author	Najiha, M. S. M. M., Rahman K., Kadirgama M. M., Noor D., Ramasamy
author_facet	Najiha, M. S. M. M., Rahman K., Kadirgama M. M., Noor D., Ramasamy
author_sort	Najiha, M. S.
title	Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
title_short	Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
title_full	Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
title_fullStr	Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
title_full_unstemmed	Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6
title_sort	multi-objective optimization of minimum quantity lubrication in end milling of aluminum alloy aa6061t6
publisher	Universiti Malaysia Pahang
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/ http://umpir.ump.edu.my/id/eprint/11909/1/fkm-2015-Najiha-Multi%20objective%20optimization-full.pdf
first_indexed	2023-09-18T22:12:58Z
last_indexed	2023-09-18T22:12:58Z
_version_	1777415150434779136

Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6

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