Measurement of GMAW Bead Geometry Using Biprism Stereo Vision Sensor

바이프리즘 스테레오 시각 센서를 이용한 GMA 용접 비드의 3차원 형상 측정

  • Published : 2001.04.01

Abstract

Three-diemnsional bead profile was measured using the biprism stereo vision sensor in GMAW, which consists of an optical filter, biprism and CCD camera. Since single CCD camera is used, this system has various advantages over the conventional stereo vision system using two cameras such as finding the corresponding points along the horizontal scanline. In this wort, the biprism stereo vision sensor was designed for the GMAW, and the linear calibration method was proposed to determine the prism and camera parameters. Image processing techniques were employed to find the corresponding point along the pool boundary. The ism-intensity contour corresponding to the pool boundary was found in the pixel order and the filter-based matching algorithm was used to refine the corresponding points in the subpixel order. Predicted bead dimensions were in broad agreements with the measured results under the conditions of spray mode and humping bead.

Keywords

References

  1. 대한용접학회지 v.16 no.6 비전 센서를 이용한 용접선 자동추적에 관한 연구 조택동;양상민;전진환
  2. 대한용접학회지 v.14 no.2 선박 소조립 공정용 로봇 자동 교시 시스템의 구현 김정호;유중돈;김진오;신정식;김성권
  3. welding Journal v.63 no.3 Coaxial Arc Weld pool Viewing for Process Monitoring and Control R.W. Richardson;R.A. Gutow;R.A. Anderson;D.F. Farson
  4. Sensors and Control Systems in Arc Welding H. Nomura;J.E. Middle;I. Masumoto
  5. 대한용접학회지 v.16 no.5 파이프의 가스메탈 아크 용접에 있어 센서 시스템을 이용한 용융지 제어 및 용접선 추적에 관한 연구 배강열;이지형;정수원
  6. Welding Journal v.75 no.10 Monitoring of Weld Joint Penetration based on Weld Pool Geometrical Appearance R. Kovacevic;Y.M. Zhang;L. Li
  7. Computing Surveys v.14 no.4 Computational stereo S.T. Barnard;M.A. Fischler
  8. IEEE Computer Vision and Pattern Recognition(CVPR'99) A Biprism Stereo Camera System D.H. Lee;I.S. Kweon;R. Cipolla
  9. Handbook of Optics v.Ⅰ;Ⅱ M. Bass;W.V. Stryland
  10. Three Dimensional Computer Vision O. Faugeras
  11. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'86 The Calibration Problem for Stereo O. Faugeras;G. Toscani
  12. Image and Vision Computing v.10 no.10 Computational Framework for Determining Stereo Correspondence from a Set of Linear Spatial Filters D.G. Jones;J. Malik