DOI QR코드

DOI QR Code

Development of a Vision-based Blank Alignment Unit for Press Automation Process

프레스 자동화 공정을 위한 비전 기반 블랭크 정렬 장치 개발

  • Oh, Jong-Kyu (Engine and Machinery Research Institute of Hyundai Heavy Industries Co., Ltd.) ;
  • Kim, Daesik (Engine and Machinery Research Institute of Hyundai Heavy Industries Co., Ltd.) ;
  • Kim, Soo-Jong (Engine and Machinery Research Institute of Hyundai Heavy Industries Co., Ltd.)
  • 오종규 (현대중공업 엔진기계연구소) ;
  • 김대식 (현대중공업 엔진기계연구소) ;
  • 김수종 (현대중공업 엔진기계연구소)
  • Received : 2014.07.07
  • Accepted : 2014.09.15
  • Published : 2015.01.01

Abstract

A vision-based blank alignment unit for a press automation line is introduced in this paper. A press is a machine tool that changes the shape of a blank by applying pressure and is widely used in industries requiring mass production. In traditional press automation lines, a mechanical centering unit, which consists of guides and ball bearings, is employed to align a blank before a robot inserts it into the press. However it can only align limited sized and shaped of blanks. Moreover it cannot be applied to a process where more than two blanks are simultaneously inserted. To overcome these problems, we developed a press centering unit by means of vision sensors for press automation lines. The specification of the vision system is determined by considering information of the blank and the required accuracy. A vision application S/W with pattern recognition, camera calibration and monitoring functions is designed to successfully detect multiple blanks. Through real experiments with an industrial robot, we validated that the proposed system was able to align various sizes and shapes of blanks, and successfully detect more than two blanks which were simultaneously inserted.

Keywords

References

  1. Korea Machine Tool Manufactures' Association, "Competitiveness analysis of press industry," Korea Trade Commission Report (in Korean), Oct. 2009.
  2. A. Jokinen, "Automation, software improve productivity of press brakes," Welding Design and Fabrication, vol. 77, no. 4, Apr. 2004.
  3. Atlas Technologies, "Robotic & Conventional Destacking Systems," Atlas Technologies, 2013.
  4. M. Gerber, A. Stauffer, and M. Muller, "Centering device for flat workpiece in a press and method for adjusting such a centering device," US Patent,US 2010/0225035 A1, Sep. 2010.
  5. J.-K. Oh, D. Kim, and S.-J. Kim "Development of a visionbased press centering unit," Proc. of 2014 29th ICROS Annual Conference, pp. 380-380, May 2014.
  6. R. Jain, R. Kasturi, and B. G. Schunck, Machine vision, McGRAW HILL, 1995.
  7. M. Ulrich and C. Steger, "Performance comparison of 2D object recognition techniques," Photogrammetric Computer Vision and Image Analysis 2002, 2002.
  8. Y.-B. Joo and K.-M. Huh, "Robust defect size measuring method for an automated vision inspection system," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 11, pp. 974-978, Nov. 2013. https://doi.org/10.5302/J.ICROS.2013.13.9031
  9. J.-K. Oh, C.-H. Lee, S.-H. Lee, J.-S. Hur, and S. Lee, "Development of a 3D vision guided robotic system using stereo vision," 39th International Symposium on Robotics, Oct. 2008.
  10. W. M. Silver, E. J. McGarry, M. L. Hill, N. Foster, S. Nichani, W. P. Foster, and A. Wagman, "Method for fast, robust, multidimensional pattern recognition," United States Patent US 7016539 B1, Mar. 2006.
  11. C.-S. Pyo and J. Lyou, "Automation of tire tread extruder line using camera," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 3, pp. 262-267, Mar. 2013. https://doi.org/10.5302/J.ICROS.2013.12.1791
  12. Cognex Corporation, "PatMax and PatQuick," Cognex, 2005.
  13. C. Steger, "Similarity measures for occlusion, clutter, and illumination invariant object recognition," LNCS 2191, Springer-Verlag Berlin Heidelberg, pp. 148-154, 2001.
  14. Hyundai Heavy Industry Co., Ltd., "HRVision 2D-Press Manual," Hyundai Heavy Industry , 2013.