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A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment

M. F. F., Ab Rashid and N. M. Zuki, N. M. and A. N., Mohd Rose (2016) A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment. Advances in Smart Systems Research, 5 (1). pp. 30-38. ISSN 2050-8662

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Abstract

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 Nondominated 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: Article
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Dr. Mohd Fadzil Faisae Ab. Rashid
Date Deposited: 23 Feb 2017 03:14
Last Modified: 19 Sep 2018 08:08
URI: http://umpir.ump.edu.my/id/eprint/16008
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