Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach

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Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach

In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting...

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Bibliographic Details
Main Authors:	Najiha, M. S., M. M., Rahman, K., Kadirgama
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2016
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/16173/ http://umpir.ump.edu.my/id/eprint/16173/1/fkm-2016-5_Najiha%20et%20al.pdf

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