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). (Published)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | MQL; multi-objective optimization; aluminum alloy; Pareto; optimal design |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 16 Feb 2016 02:18 |
| Last Modified: | 17 Oct 2018 03:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/11909 |
| Download Statistic: | View Download Statistics |
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