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

• المؤلفون الرئيسيون: Najiha, M. S., M. M., Rahman, K., Kadirgama
• التنسيق: مقال
• اللغة: English
• منشور في: Universiti Malaysia Pahang 2016
• الموضوعات: TJ Mechanical engineering and machinery
• الوصول للمادة أونلاين: http://umpir.ump.edu.my/id/eprint/16173/1/fkm-2016-5_Najiha%20et%20al.pdf; http://umpir.ump.edu.my/id/eprint/16173/; https://doi.org/10.15282/ijame.13.2.2016.5.0277

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...