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Multiple-objective optimization in precision laser cutting of different thermoplastics

Thermoplastics are increasingly being used in biomedical, automotive and electronics industries due to their excellent physical and chemical properties. Due to the localized and non-contact process, use of lasers for cutting could result in precise cut with small heat-affected zone (HAZ). Precision...

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Main Authors:	Tamrin, K.F., Nukman, Y., Choudhury, I.A., Shirley, S.
Format:	Article
Language:	English
Published:	Elsevier 2015
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.um.edu.my/13866/1/Multiple-objective_optimization_in_precision_laser_cutting_of.pdf http://eprints.um.edu.my/13866/ http://www.sciencedirect.com/science/article/pii/S0143816614002620
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spelling	my.um.eprints.138662015-09-01T04:17:36Z http://eprints.um.edu.my/13866/ Multiple-objective optimization in precision laser cutting of different thermoplastics Tamrin, K.F. Nukman, Y. Choudhury, I.A. Shirley, S. T Technology (General) TJ Mechanical engineering and machinery Thermoplastics are increasingly being used in biomedical, automotive and electronics industries due to their excellent physical and chemical properties. Due to the localized and non-contact process, use of lasers for cutting could result in precise cut with small heat-affected zone (HAZ). Precision laser cutting involving various materials is important in high-volume manufacturing processes to minimize operational cost, error reduction and improve product quality. This study uses grey relational analysis to determine a single optimized set of cutting parameters for three different thermoplastics. The set of the optimized processing parameters is determined based on the highest relational grade and was found at low laser power (200 W), high cutting speed (0.4 m/min) and low compressed air pressure (2.5 bar). The result matches with the objective set in the present study. Analysis of variance (ANOVA) is then carried out to ascertain the relative influence of process parameters on the cutting characteristics. It was found that the laser power has dominant effect on HAZ for all thermoplastics. (C) 2014 Elsevier Ltd. All rights reserved. Elsevier 2015-04 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13866/1/Multiple-objective_optimization_in_precision_laser_cutting_of.pdf Tamrin, K.F. and Nukman, Y. and Choudhury, I.A. and Shirley, S. (2015) Multiple-objective optimization in precision laser cutting of different thermoplastics. Optics and Lasers in Engineering, 67. pp. 57-65. ISSN 0143-8166 http://www.sciencedirect.com/science/article/pii/S0143816614002620 DOI: 10.1016/j.optlaseng.2014.11.001
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
language	English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Tamrin, K.F. Nukman, Y. Choudhury, I.A. Shirley, S. Multiple-objective optimization in precision laser cutting of different thermoplastics
description	Thermoplastics are increasingly being used in biomedical, automotive and electronics industries due to their excellent physical and chemical properties. Due to the localized and non-contact process, use of lasers for cutting could result in precise cut with small heat-affected zone (HAZ). Precision laser cutting involving various materials is important in high-volume manufacturing processes to minimize operational cost, error reduction and improve product quality. This study uses grey relational analysis to determine a single optimized set of cutting parameters for three different thermoplastics. The set of the optimized processing parameters is determined based on the highest relational grade and was found at low laser power (200 W), high cutting speed (0.4 m/min) and low compressed air pressure (2.5 bar). The result matches with the objective set in the present study. Analysis of variance (ANOVA) is then carried out to ascertain the relative influence of process parameters on the cutting characteristics. It was found that the laser power has dominant effect on HAZ for all thermoplastics. (C) 2014 Elsevier Ltd. All rights reserved.
format	Article
author	Tamrin, K.F. Nukman, Y. Choudhury, I.A. Shirley, S.
author_facet	Tamrin, K.F. Nukman, Y. Choudhury, I.A. Shirley, S.
author_sort	Tamrin, K.F.
title	Multiple-objective optimization in precision laser cutting of different thermoplastics
title_short	Multiple-objective optimization in precision laser cutting of different thermoplastics
title_full	Multiple-objective optimization in precision laser cutting of different thermoplastics
title_fullStr	Multiple-objective optimization in precision laser cutting of different thermoplastics
title_full_unstemmed	Multiple-objective optimization in precision laser cutting of different thermoplastics
title_sort	multiple-objective optimization in precision laser cutting of different thermoplastics
publisher	Elsevier
publishDate	2015
url	http://eprints.um.edu.my/13866/1/Multiple-objective_optimization_in_precision_laser_cutting_of.pdf http://eprints.um.edu.my/13866/ http://www.sciencedirect.com/science/article/pii/S0143816614002620
_version_	1643689671014744064
score	13.2442

Multiple-objective optimization in precision laser cutting of different thermoplastics

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