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

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M. S., Najiha 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)

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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 . R esponse surface methodology coupled with a central composite design of experiments is used for modeling. Data is collected from a vertical CNC milling cent e r and the input parameters are cutting speed, table feed rate , axial depth of cut and the minimum quantity lubrication flow rate . A nalysis 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 m ulti - criteria decision making utility is used to find among the feasible range of optimum design s 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.

Item Type:Article
Uncontrolled Keywords:MQL; multi-objective optimization; aluminum alloy; Pareto; optimal design
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Faculty of Mechanical Engineering
ID Code:11909
Deposited By: Noorul Farina Arifin
Deposited On:16 Feb 2016 10:18
Last Modified:25 Jan 2018 10:31

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