JWJ > Volume 23(4); 2005 > Article
Journal of KWJS 2005 August;23(4) :41-47.
Published online September 22, 2005.
Development of Experimental Model for Bead profile Prediction in GMA Welding
Joon-Sik Son, Ill-Soo Kim, Chang-Eun Park, In-Ju Kim, Ho-Seong Jeong




Correspondence:   Published online September 22, 2005
ABSTRACT
Generally, the use of robots in manufacturing industry has been increased during the past decade. GMA(Gas Metal Arc) welding process is an actively growing area, and many new procedures have been developed for use with high strength alloy. One of the basic requirement for the automatic welding applications is to investigate relationships between process parameters and bead geometry. The objective of this paper is to develop a new approach involving the use of neural network and multiple regression methods in the prediction of bead geometry for GMA welding process and to develop an intelligent system that visualize bead geometry in order to employ the robotic GMA welding processes. Examples of the simulation for GMA welding process are supplied to demonstrate and verify the proposed system developed using MATLAB. The developed system could be effectively implemented not only for estimating bead geometry, but also employed to monitor and control the bead geometry in real time.
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