대한용접접합학회:학술대회논문집 (Proceedings of the KWS Conference)

대한용접접합학회 (The Korean Welding and Joining Society)
권호 표지

Developed multiple linear regression model using genetic algorithm for predicting top-bead width in GMA welding process

  • Thao, D.T. (Department of Mechanical Engineering, Mokpo National University) ;
  • Kim, I.S. (Department of Mechanical Engineering, Mokpo National University) ;
  • Son, J.S. (Department of Mechanical Engineering, Mokpo National University) ;
  • Seo, J.B. (Department of Mechanical Engineering, Mokpo National University)
  • 발행 : 2006.10.19
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초록

This paper focuses on the developed empirical models for the prediction on top-bead width in GMA(Gas Metal Arc) welding process. Three empirical models have been developed: linear, curvilinear and an intelligent model. Regression analysis was employed fur optimization of the coefficients of linear and curvilinear model, while Genetic Algorithm(GA) was utilized to estimate the coefficients of intelligent model. Not only the fitting of these models were checked, but also the prediction on top-bead width was carried out. ANOVA analysis and contour plots were respectively employed to represent main and interaction effects between process parameters on top-bead width.

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