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Laser cutting quality control of melamine using artificial neural networks

Experimental analysis has been carried out to seek the optimum combination (cutting speed, laser power, assist pressure of air and standoff distance) of input controllable variables in the process of laser cutting in order to improve the laser cutting quality on non-metallic such as Urea formaldehyd...

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Main Authors: Mustafa, Z., Amin, I., Nukman, Y., Haider, N., Haq, I.
Format: Article
Language:English
Published: 2010
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.um.edu.my/8372/1/Laser_cutting_of_melamine_2010.pdf
http://eprints.um.edu.my/8372/
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spelling my.um.eprints.83722019-08-21T09:25:41Z http://eprints.um.edu.my/8372/ Laser cutting quality control of melamine using artificial neural networks Mustafa, Z. Amin, I. Nukman, Y. Haider, N. Haq, I. TJ Mechanical engineering and machinery Experimental analysis has been carried out to seek the optimum combination (cutting speed, laser power, assist pressure of air and standoff distance) of input controllable variables in the process of laser cutting in order to improve the laser cutting quality on non-metallic such as Urea formaldehyde (Melamine). Furthermore, the values of edge quality, kerf widths, percent overcut and material removal rate were measured for calculating quality. Taguchi method was used in experimental design using orthogonal array. The effect of input parameters on output quality variation was assessed by analysis of variance to determine the optimum combination of input. Artificial neural network can measure and improve the quality of cutting by training on aggregation data, using feed-forward back-propagation to predict overall cutting quality. Simulation of aggregated function can be used for better optimization than ANOVA technique because it provides the overall quality prediction, as against single quality prediction. 2010-12-07 Article PeerReviewed application/pdf en http://eprints.um.edu.my/8372/1/Laser_cutting_of_melamine_2010.pdf Mustafa, Z. and Amin, I. and Nukman, Y. and Haider, N. and Haq, I. (2010) Laser cutting quality control of melamine using artificial neural networks. Asia Pacific Industrial Engineering and Management Systems Conference .
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 TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mustafa, Z.
Amin, I.
Nukman, Y.
Haider, N.
Haq, I.
Laser cutting quality control of melamine using artificial neural networks
description Experimental analysis has been carried out to seek the optimum combination (cutting speed, laser power, assist pressure of air and standoff distance) of input controllable variables in the process of laser cutting in order to improve the laser cutting quality on non-metallic such as Urea formaldehyde (Melamine). Furthermore, the values of edge quality, kerf widths, percent overcut and material removal rate were measured for calculating quality. Taguchi method was used in experimental design using orthogonal array. The effect of input parameters on output quality variation was assessed by analysis of variance to determine the optimum combination of input. Artificial neural network can measure and improve the quality of cutting by training on aggregation data, using feed-forward back-propagation to predict overall cutting quality. Simulation of aggregated function can be used for better optimization than ANOVA technique because it provides the overall quality prediction, as against single quality prediction.
format Article
author Mustafa, Z.
Amin, I.
Nukman, Y.
Haider, N.
Haq, I.
author_facet Mustafa, Z.
Amin, I.
Nukman, Y.
Haider, N.
Haq, I.
author_sort Mustafa, Z.
title Laser cutting quality control of melamine using artificial neural networks
title_short Laser cutting quality control of melamine using artificial neural networks
title_full Laser cutting quality control of melamine using artificial neural networks
title_fullStr Laser cutting quality control of melamine using artificial neural networks
title_full_unstemmed Laser cutting quality control of melamine using artificial neural networks
title_sort laser cutting quality control of melamine using artificial neural networks
publishDate 2010
url http://eprints.um.edu.my/8372/1/Laser_cutting_of_melamine_2010.pdf
http://eprints.um.edu.my/8372/
_version_ 1643688284577071104
score 13.211869

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