Transactions of the Korean Society of Machine Tool Engineers (한국공작기계학회논문집)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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A Study on the Prediction of Bead Geometry for Lab Joint Fillet Welds Using Sensitivity Analysis

민감도 분석을 이용한 겹치기 필릿용접부 비드형상 예측에 관한 연구

  • 정재원 (목포대학교 대학원 기계공학과) ;
  • 김일수 (목포대학교 기계선박해양공학부) ;
  • 김학형 (목포대학교 대학원 기계공학과) ;
  • 김인주 (한국생산기술연구원 전북연구센터) ;
  • 방홍인 (한국폴리텍V대학 익산캠퍼스 컴퓨터응용기계과)
  • Published : 2008.12.15
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Abstract

Arc welding process is one of the most important technologies to join metal plates. Robotic welding offers the reduced manufacturing cost sought, but its widespread use demands a means of sensing and correcting for inaccuracies in the part, the fixturing and the robot. A number of problems that need to be addressed in robotic arc welding processes include sensing, joint tracking, and lack of adequate models for process parameter prediction and quality control. Problems with parameter settings and quality control occur frequently in the GMA(Gas Metal Arc) welding process due to the large number of interactive process parameters that must be set and accurately controlled. The objectives of this paper are to realize the mapping characteristics of bead width using a sensitivity analysis and develop the neural network and multiple regression method, and finally select the most accurate model in order to control the weld quality(bead width) for fillet welding. The experimental results show that the proposed neural network estimator can predict bead width with reasonable accuracy, and guarantee the uniform weld quality.

Keywords

References

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