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Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining

This study considers mastercam simulation and genetic algorithm optimization to estimate a minimum processing time value of liquid crystal display monitor hinge in two-dimensional (2D) contouring machining. Regression model is developed to formulate the fitness function equation of GA optimization....

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Main Authors: Azman, Muhammad Firdaus, Mohamad Halimin, Nur Asyikin, Mohd. Zain, Azlan
Format: Article
Published: Springer 2011
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/44907/
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spelling my.utm.449072015-09-15T07:31:14Z http://eprints.utm.my/id/eprint/44907/ Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining Azman, Muhammad Firdaus Mohamad Halimin, Nur Asyikin Mohd. Zain, Azlan TJ Mechanical engineering and machinery This study considers mastercam simulation and genetic algorithm optimization to estimate a minimum processing time value of liquid crystal display monitor hinge in two-dimensional (2D) contouring machining. Regression model is developed to formulate the fitness function equation of GA optimization. This study found that GA is capable to estimate the optimal cutting conditions value to minimize the processing time. With high feed rate, high spindle speed rate, high pitch rate and low pull rate of the machining parameter, GA recommended 349.3916 seconds as the minimum processing time. Consequently, GA has reduced the minimum processing time of mastercam simulation by about 6.58%. Springer 2011 Article PeerReviewed Azman, Muhammad Firdaus and Mohamad Halimin, Nur Asyikin and Mohd. Zain, Azlan (2011) Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining. Communications in Computer and Information Science, 252 (2). pp. 239-249. ISSN 1865-0929
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Azman, Muhammad Firdaus
Mohamad Halimin, Nur Asyikin
Mohd. Zain, Azlan
Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
description This study considers mastercam simulation and genetic algorithm optimization to estimate a minimum processing time value of liquid crystal display monitor hinge in two-dimensional (2D) contouring machining. Regression model is developed to formulate the fitness function equation of GA optimization. This study found that GA is capable to estimate the optimal cutting conditions value to minimize the processing time. With high feed rate, high spindle speed rate, high pitch rate and low pull rate of the machining parameter, GA recommended 349.3916 seconds as the minimum processing time. Consequently, GA has reduced the minimum processing time of mastercam simulation by about 6.58%.
format Article
author Azman, Muhammad Firdaus
Mohamad Halimin, Nur Asyikin
Mohd. Zain, Azlan
author_facet Azman, Muhammad Firdaus
Mohamad Halimin, Nur Asyikin
Mohd. Zain, Azlan
author_sort Azman, Muhammad Firdaus
title Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
title_short Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
title_full Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
title_fullStr Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
title_full_unstemmed Estimating minimum processing time of liquid crystal display monitor hinge in 2D contouring machining
title_sort estimating minimum processing time of liquid crystal display monitor hinge in 2d contouring machining
publisher Springer
publishDate 2011
url http://eprints.utm.my/id/eprint/44907/
_version_ 1643651581897342976
score 13.211869

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