Proceedings of the Korean Society of Machine Tool Engineers Conference (한국공작기계학회:학술대회논문집)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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Classification of Fuzzy Logic on the Optimized Bead Geometry in the Gas Metal Arc Welding

  • Yu Xue (Department of Mechanical Engineering, Mokpo National University) ;
  • Kim, Ill-Soo (Department of Mechanical and Marine System Engineering, Mokpo National University) ;
  • Park, Chang-Eun (Department of Mechanical and Marine System Engineering, Mokpo National University) ;
  • Kim, In-Ju (Department of Mechanical Engineering, Mokpo National University) ;
  • Son, Joon-Sik (Department of Mechanical Engineering, Mokpo National University)
  • Published : 2004.10.01
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Abstract

Recently, there has been a rapid development in computer technology, which has in turn led to develop the automated welding system using Artificial Intelligence (AI). However, the automated welding system has not been achieved duo to difficulties of the control and sensor technologies. In this paper, the classification of the optimized bead geometry such as bead width, height penetration and bead area in the Gas Metal Arc (GMA) welding with fuzzy logic is presented. The fuzzy C-Means algorithm (FCM), which is best known an unsupervised fuzzy clustering algorithm is employed here to analysis the specimen of the bead geometry. Then the quality of the GMA welding can be classified by this fuzzy clustering technique and the choice for obtaining the optimal bead geometry can also be determined.

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