GMA용접에서 비드단면형상을 예측하기 위한 실험적 모델의 개발

Development of Experimental Model fer Bead profile Prediction in GMA Welding

  • 손준식 (목포대학교, 기계해양시스템공학과 기계시스템) ;
  • 김일수 (목포대학교, 기계해양시스템공학과 기계시스템) ;
  • 박창언 (목포대학교, 기계해양시스템공학과 기계시스템) ;
  • 김인주 (한국생산기술연구원) ;
  • 정호성 (목포대학교, 기계해양시스템공학과 기계시스템)
  • Son Joon-Sik (Dept. of Mechanical Engineering, Mokpo National University) ;
  • Kim Ill-Soo (Dept. of Mechanical Engineering, Mokpo National University) ;
  • Park Chang-Eun (Dept. of Mechanical Engineering, Mokpo National University) ;
  • Kim In-Ju (Korea Institute of Industrial Technology) ;
  • Jeong Ho-Seong (Dept. of Mechanical Engineering, Mokpo National University)
  • 발행 : 2005.08.01

초록

Generally, the use of robots in manufacturing industry has been increased during the past decade. GMA(Gas Metal Arc) welding process is an actively Vowing area, and many new procedures have been developed for use with high strength alloys. 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 oかy for estimating bead geometry, but also employed to monitor and control the bead geometry in real time.

키워드

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