Proceedings of the KWS Conference (대한용접접합학회:학술대회논문집)
- 2002.10a
- /
- Pages.295-300
- /
- 2002
PREDICTION OF WELDING PARAMETERS FOR PIPELINE WELDING USING AN INTELLIGENT SYSTEM
- Kim, Ill-Soo (Department of Mechanical Engineering, Mokpo National University) ;
- Jeong, Young-Jae (Department of Mechanical Engineering, Mokpo National University) ;
- Lee, Chang-Woo (Department of Mechanical Engineering, Mokpo National University) ;
- Yarlagadda, Prasad K.D.V. (School of Mech. Mfg.&Med. Engineering, Queensland Univ.)
- Published : 2002.10.01
Abstract
In this paper, an intelligent system to determine welding parameters for each pass and welding position in pipeline welding based on one database and FEM model, two BP neural network models and a C-NN model was developed and validated. The preliminary test of the system has indicated that the developed system could determine welding parameters for pipeline welding quickly, from which good weldments can be produced without experienced welding personnel. Experiments using the predicted welding parameters from the developed system proved the feasibility of interface standards and intelligent control technology to increase productivity, improve quality, and reduce the cost of system integration.