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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Main Authors: M. F. F., Ab Rashid, N. M. Zuki, N. M., A. N., Mohd Rose
Format: Article
Language:English
Published: Future Technology Publications 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/16008/
http://umpir.ump.edu.my/id/eprint/16008/
http://umpir.ump.edu.my/id/eprint/16008/1/2017%20CNC%20Milling%20using%20NSGA-II%20KES%20Paper%20567.PDF
id ump-16008
recordtype eprints
spelling ump-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
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
M. F. F., Ab Rashid
N. M. Zuki, N. M.
A. N., Mohd Rose
A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment
description 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.
format 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
author_sort 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
url http://umpir.ump.edu.my/id/eprint/16008/
http://umpir.ump.edu.my/id/eprint/16008/
http://umpir.ump.edu.my/id/eprint/16008/1/2017%20CNC%20Milling%20using%20NSGA-II%20KES%20Paper%20567.PDF
first_indexed 2023-09-18T22:21:18Z
last_indexed 2023-09-18T22:21:18Z
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