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Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II

M. F. F., Ab Rashid and N. M. Zuki, N. M. and A. N. M., Rose (2016) Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II. In: 20th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2016), 5-7 September 2016 , York, United Kingdom. pp. 1-8.. (Unpublished)

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Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. Although a lot of researches have been done on how to improve the process, the process improvement does not stop there because of evolving materials, methods and technologies. This paper presents a multi-objective optimisation of CNC milling process in order to achieve desired surface roughness and minimise machining time for Al 6061. A full factorial experiment has been conducted to model surface roughness by controlling three variables; spindle speed, feed rate and depth of cut. Multi-objective optimisation has been performed using modified Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) with two levels crossover. The optimisation result concluded that the modified NSGA-II was able to converge to Pareto-optimal, but having difficulties to spread solutions in wider range.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Multi-objective optimisation; NSGA-II; CNC milling
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 30 Nov 2016 06:30
Last Modified: 27 Apr 2018 07:22
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