용접 이음 추적시스템의 응용

The Application of the Welding Joint Tracking System

  • 이정익 (인하공업전문대학 기계시스템학부 기계설계과) ;
  • 고병갑 (인하공업전문대학 기계시스템학부 기계과)
  • 발행 : 2007.04.15

초록

Welding fabrication invariantly involves three district sequential steps: preparation, actual process execution and post-weld inspection. One of the major problems in automating these steps and developing autonomous welding systems, is the lack of proper sensing strategies. Conventionally, machine vision is used in robotic arc welding only for the correction of pre-taught welding paths in single pass. In this paper, novel presented, developed vision processing techniques are detailed, and their application in welding fabrication is covered. The software for joint tracking system is finally proposed.

키워드

참고문헌

  1. Agapakis, J. E., 1990, 'Approaches for Recognition and Interpretation of Workpiece Surface Features using Structured Lighting,' The International Journal of Robotics Research, Vol. 9, No. 5, pp. 3-16
  2. Agapakis, J. E., 1986, 'Joint Tracking and Adaptive Robotic Welding using Vision Sensing of the Weld Joint Geometry,' Welding Journal, Vol. 65, No. 11, pp. 33-41
  3. Agapakis, J. E., 1990, 'Vision-Aided Robotic Welding: An Approach and a Flexible Implementation,' The International Journal of Robotics Research, Vol. 9, No. 5, pp. 17-34 https://doi.org/10.1177/027836499000900502
  4. Clocksin, W. F., 1985, 'An Implementation of Model-Based Visual Feedback for Robotic Welding of Thin Sheet Steel,' The International Journal of Robotics Research, Vol. 4, No. 1, pp. 13-26 https://doi.org/10.1177/027836498500400102
  5. Nakata, S., and Jie, H., 1989, 'Construction of Visual Sensing System for In-process Control of Arc Welding Process and Application in Automatic Weld line Tracking,' The Transactions of Japanese Welding Society, Vol. 7, No. 4, pp. 467-472 https://doi.org/10.2207/qjjws.7.467
  6. Nakata, S., 1989, 'Determination on Geometrical Arrangement of Optical Equipments and Photographic Parameters for Construction of Visiual Sensing Sysem,' The Transactions of Japanese Welding Society, Vol. 7, No. 3, pp. 358-362 https://doi.org/10.2207/qjjws.7.358
  7. Nayak, N., and Ray, A., 1993, Intelligent Seam Tracking for Robotic Welding, Springer -Verlag
  8. Yoo, Y. T., Kim, J. Y., Ro, K. B., Yang, D. J., Oh, Y. S., Im, K. G. and Kim, J. H., 2003, 'Estimation of Laser Welding Behavior of SM45C Steels by Plume Monitoring,' Transactions of the Korean Society of Machine and Tool Engineers, Vol. 12, No. 6, pp. 14-21
  9. Yoon, S. U., Kim, J. Y., Song, K. S. and Cha, Y. H., 2006, 'The Development of Automatic Inspection System for Flaw Detection in Welding Pipe,' Transactions of the Korean Society of Machine and Tool Engineers, Vol. 15, No. 2, pp. 87-92