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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Bibliographic Details
Main Authors: Najiha, M. S., M. M., Rahman, K., Kadirgama, M. M., Noor, D., Ramasamy
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2015
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Online Access:http://umpir.ump.edu.my/id/eprint/11909/1/fkm-2015-Najiha-Multi%20objective%20optimization-full.pdf
http://umpir.ump.edu.my/id/eprint/11909/
http://ijame.ump.edu.my/images/Volume_12/15_%20Najiha%20et%20al.pdf
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Institution: Universiti Malaysia Pahang
Language: English

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