Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Development on Tandem GMA Welding System using Seam Tracking System in Pipe Line

용접선 추적시스템을 적용한 탄뎀 원주 용접시스템 개발

  • Lee, JongPyo (Graduate School of Department of Mechanical Engineering, Mokpo National University) ;
  • Lee, JiHye (Graduate School of Department of Mechanical Engineering, Mokpo National University) ;
  • Park, MinHo (Graduate School of Department of Mechanical Engineering, Mokpo National University) ;
  • Park, CheolKyun (Graduate School of Department of Mechanical Engineering, Mokpo National University) ;
  • Kim, IllSoo (Department of Mechanical Engineering, Mokpo National University)
  • 이종표 (국립목포대학교 기계공학과 대학원) ;
  • 이지혜 (국립목포대학교 기계공학과 대학원) ;
  • 박민호 (국립목포대학교 기계공학과 대학원) ;
  • 박철균 (국립목포대학교 기계공학과 대학원) ;
  • 김일수 (국립목포대학교 기계공학과)
  • Received : 2013.09.05
  • Accepted : 2014.09.17
  • Published : 2014.11.01
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Abstract

In this study to improve the productivity, advantage Tandem circumferential weld process of seam tracking system was applied for the laser vision sensor. Weld geometry scanning laser vision sensor and PLC control unit are used to scan correct positioning of welding torch when the program is implemented so that it can correctly track the welding line. The welding experiment was conducted to evaluate the performance of laser vision seam tracking sensor in tandem welding process. The seam tracking several experiments was to determine the reliability of the system, welding experiments relatively good quality welding bead was confirmed. Furthermore, the PLC program for seam tracking was used to confirm the validity of the application of tandem welding process according to the benefits of increased productivity, which is expected to contribute to national competitiveness.

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References

  1. Kang, H. S., Suh, J., and Lee, J. H., "A Study of Seam Tracking System in Laser Welding," Proc. of The Korean Society of Automotive Engineers Autumn Conference, pp. 1312-1315, 2004.
  2. Lee, J. H., Kim, I. S., Kim, H. H., Jung, J. W., Son, S., et al., "A Development of an Algorithm to Weld Seam Tracking using Regression Analysis and Neural Network," Proc. of The Korean Society of Manufacturing Technology Engineers Autumn Conference, pp. 380-385, 2009.
  3. Kim, I. S., Son, J. S., Kim, H. H., Seo, J. H., and Kim, I. J., "A Study on the Seam Tracking and Control of the Welding Quality Using a Infrared sensor," Proc. of KSPE Autumn Conference, pp. 301-302, 2006.
  4. Agapakis, J. E., "Joint Tracking and Adaptive Robotic Welding using Vision Sensing of the Weld Join Geometry," Welding Journal, Vol. 65, No. 11, pp. 33-41, 1986.
  5. Agapakis, J. E., "Vision-Aided Robotic Welding : An Approach and a Flexible Implementation," The International Journal of Robotics Research, Vol. 9, No. 5, pp. 17-34, 1990. https://doi.org/10.1177/027836499000900502
  6. Park. C. I., Son. Y. S., Kang. J. S., Ham. S. Y., et al., "Development of Automatic Welding System by Using Laser Vision System," Korea Institute of Machinery & Materials, pp. 38-44, 1997.
  7. Sung, K. E., Lee, S. H., and Oh, Y. K., "Seam Tracking Computer Simulation System for Seam Tracking Algorithm of Robotic Welding using Laser Vision Sensor," The Korean Welding and Joining Society, No. 2, pp. 62-65, 1999.
  8. Lee, J. I. and Koh, B. K., "The Multipass Joint Tracking System by Vision Sensor," Transactions of the Korean Society of Machine Tool Engineers, Vol. 16, No. 5, pp. 14-23, 2007.
  9. Ahn, S. T., "Sensor Fusion of Vision and Laser Range Finder for Mobile Robot Localization," M.Sc. Thsis, Mechanical Engineering, The Korea Advanced Institute of Science and Technology, pp. 14-32, 2003.