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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2007
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my-utm-ep.95582018-07-25T07:59:57Z Estimation in spot welding parameters using genetic algorithm 2007-12 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 http://eprints.utm.my/id/eprint/9558/ http://eprints.utm.my/id/eprint/9558/1/HafiziLukmanMFKM2007.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering Aslanlar,S, Ogur,A,. Ozsarac, U. Ilhan E. Demir Z,(2005). Effect Of Welding Current On Mechanical Properties Of Galvanized Chromided Steel Sheets In Electrical Resistance Spot Welding, Materials and Design Aslanlar, S. (2004) The Effect Of Nucleus Size On Mechanical Properties In Electrical Resistance Spot Welding Of Sheets Used In Automotive Industry. Materials and Design 27:125–131 Cemal Meran, (2004). Prediction of the optimized welding parameters for the joined brass plates using genetic algorithm, Materials and Design 27: 356-363 Davi Sampaio Correia, Cristiene Vasconcelos Gocalves, Sebatiao Simoes da Cunha, (2005), Comparison between genetic algorithm and response surfaces methodology in GMAW welding optimization, Journal of Processing Technology 160 : 70-76 Gene Liao, Y. (2005). Optimal Design Of Weld Pattern In Sheet Metal Assembly Based On A Genetic Algorithm, Int J Adv Manuf Technol 26: 512–516 Giuggioli, P. Busacca, Marseguerra, M. and Zio E, (2001). Multiobjective optimization by genetic algorithms: application to safety systems, P. Giuggioli Busacca, M. Marseguerra, Murat Vural, Ahmet Akkus, (2004), On The Resistance Spot Weldability Of Galvanized Interstitial Free Steel Sheets With Austenitic Stainless Steel Sheets, Journal of Materials Processing Technology 153–154:1–6 Olcay Ersel Canyurt, (2005). Estimation of weld joint strength using genetic algorithm approach, International Journal of Mechanical Sciences 47: 1249-1261 Takao Yokota, Takeaki Taguchi and Mitsuo Gen,(1999). A Solution Method for Optimal Cost Problem of Welded Beam by Using Genetic Algorithms, Computers & Industrial Engineering 37: 379-382 Wong Min Yee. (2001). Intelligent Active Force Control Of a Robotic Arm using Genetic Algorithm, Thesis, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia. |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| 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 |
| qualification_level |
Master's degree |
| 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 |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Mechanical Engineering |
| granting_department |
Faculty of Mechanical Engineering |
| publishDate |
2007 |
| url |
http://eprints.utm.my/id/eprint/9558/1/HafiziLukmanMFKM2007.pdf |
| _version_ |
1747814754587508736 |