A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment
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, th...
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Future Technology Publications
2016
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Online Access: | http://umpir.ump.edu.my/id/eprint/16008/1/2017%20CNC%20Milling%20using%20NSGA-II%20KES%20Paper%20567.PDF http://umpir.ump.edu.my/id/eprint/16008/ http://nimbusvault.net/publications/koala/assr/567.html |
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my.ump.umpir.160082018-09-19T08:08:19Z http://umpir.ump.edu.my/id/eprint/16008/ A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment M. F. F., Ab Rashid N. M. Zuki, N. M. A. N., Mohd Rose TS Manufactures 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. Future Technology Publications 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16008/1/2017%20CNC%20Milling%20using%20NSGA-II%20KES%20Paper%20567.PDF 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 http://nimbusvault.net/publications/koala/assr/567.html |
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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 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. |
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Article |
author |
M. F. F., Ab Rashid N. M. Zuki, N. M. A. N., Mohd Rose |
author_facet |
M. F. F., Ab Rashid N. M. Zuki, N. M. A. N., Mohd Rose |
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M. F. F., Ab Rashid |
title |
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment |
title_short |
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment |
title_full |
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment |
title_fullStr |
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment |
title_full_unstemmed |
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment |
title_sort |
study of postural loading in malaysian mining industry using rapid entire body assessment |
publisher |
Future Technology Publications |
publishDate |
2016 |
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http://umpir.ump.edu.my/id/eprint/16008/1/2017%20CNC%20Milling%20using%20NSGA-II%20KES%20Paper%20567.PDF http://umpir.ump.edu.my/id/eprint/16008/ http://nimbusvault.net/publications/koala/assr/567.html |
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