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Estimation in spot welding parameters using genetic algorithm

Spot welding is an important metal joining process mainly in the automotive industries. Spot welding process needed parameters define by user such as current and time to finish one cycle of spot welding process. In this study, parameter of spot welding estimate using computer simulation. System iden...

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Main Author: Lukman, Hafizi
Format: Thesis
Language:English
Published: 2007
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/9558/1/HafiziLukmanMFKM2007.pdf
http://eprints.utm.my/id/eprint/9558/
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spelling my.utm.95582018-07-25T07:59:57Z http://eprints.utm.my/id/eprint/9558/ Estimation in spot welding parameters using genetic algorithm Lukman, Hafizi TJ Mechanical engineering and machinery Spot welding is an important metal joining process mainly in the automotive industries. Spot welding process needed parameters define by user such as current and time to finish one cycle of spot welding process. In this study, parameter of spot welding estimate using computer simulation. System identification is the field of modeling a system from experiment or simulation data. The application has widespread in many areas especially in system and control engineering. Genetic algorithm (GA) used as parameter estimation method for a model structure. By using Genetic algorithm (GA) the spot welding parameters can be estimated. 2007-12 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/9558/1/HafiziLukmanMFKM2007.pdf Lukman, Hafizi (2007) Estimation in spot welding parameters using genetic algorithm. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering.
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/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Lukman, Hafizi
Estimation in spot welding parameters using genetic algorithm
description Spot welding is an important metal joining process mainly in the automotive industries. Spot welding process needed parameters define by user such as current and time to finish one cycle of spot welding process. In this study, parameter of spot welding estimate using computer simulation. System identification is the field of modeling a system from experiment or simulation data. The application has widespread in many areas especially in system and control engineering. Genetic algorithm (GA) used as parameter estimation method for a model structure. By using Genetic algorithm (GA) the spot welding parameters can be estimated.
format Thesis
author Lukman, Hafizi
author_facet Lukman, Hafizi
author_sort Lukman, Hafizi
title Estimation in spot welding parameters using genetic algorithm
title_short Estimation in spot welding parameters using genetic algorithm
title_full Estimation in spot welding parameters using genetic algorithm
title_fullStr Estimation in spot welding parameters using genetic algorithm
title_full_unstemmed Estimation in spot welding parameters using genetic algorithm
title_sort estimation in spot welding parameters using genetic algorithm
publishDate 2007
url http://eprints.utm.my/id/eprint/9558/1/HafiziLukmanMFKM2007.pdf
http://eprints.utm.my/id/eprint/9558/
_version_ 1643645188293263360
score 13.209306

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