Browse > Article

The Multipass Joint Tracking System by Vision Sensor  

Lee, Jeong-Ick (인하공업전문대학 기계시스템학부 기계설계과)
Koh, Byung-Kab (인하공업전문대학 기계시스템학부 기계과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.16, no.5, 2007 , pp. 14-23 More about this Journal
Abstract
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 system 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. However, in this paper, multipass tracking more than single pass tracking is performed by conventional seam tracking algorithm and developed one. And tracking performances of two algorithm are compared in multipass tracking. As the result, tracking performance in multi-pass welding shows superior conventional seam tracking algorithm to developed one.
Keywords
Joint Tracking System; Multipass Arc Welding; Vision Sensor; Welding Fabrication; Post-Weld Inspection; Segmentation Processing; Feature Extraction and Recognition; Vision Processing Techniques;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 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
2 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   DOI
3 Kim, I.-S., Jeong, Y.-J., Lee, C.-W. and Park, J.-S., 2002, 'Development of an Automatic Pump Design System using Auto CAD,' Transactions of the Korean Society of Machine Tool Engineers, Vol. 11, No. 1, pp. 91-96
4 Kim, I.-S. and Jun, K.-S., 2002, 'Optimal Process Parameters for Achieving the Desired Top-Bead Width in GMA Welding Process,' Transactions of the Korean Society of Machine Tool Engineers, Vol. 11, No. 4, pp. 89-96   과학기술학회마을
5 Nayak, N. and Ray, A., 1993, Intelligent Seam Tracking for Robotic Welding, Springer-Verlag
6 Nakata, S., 1989, 'Determination on Geometrical Arrangement of Optical Equipments and Photographic Parameters for Construction of Visual Sensing System,' Transactions of Japanese Welding Society, Vol. 7, No. 3, pp. 358-362   DOI
7 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   DOI   ScienceOn
8 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,' Transactions of Japanese Welding Society, Vol. 7, No. 4, pp. 467-472   DOI
9 Agapakis, J. E., 1990, 'The 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