DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

Quality evaluation of the welded joints made by robotic welding

  • 1 Technical University of Košice, Faculty of Mechanical Engineering, Košice, Slovakia

Abstract

This paper presents the results of an investigation aimed at evaluating the geometric and material characteristics of welds, such as dimensions, shape, pores, cracks and other imperfections. An automated weld inspection workstation has been designed which includes suitable sensors, equipment and software solutions for data acquisition and processing. Tests were performed on selected welds to determine the material superheat and weld quality.

Keywords

References

  1. NEE, Andrew Y C. Handbook of manufacturing engineering and technology. New York: Springer, 2014. ISBN 9781447146711.
  2. Kuss, A., Diaz P., J.R., Hollmann, R., Dietz, T., Haegele, M. Man- ufacturing knowledge for industrial robot systems: Review and synthesis of model architecture. 12th IEEE Conference on Automation Science and Engineering 2016.
  3. P. Maropoulos, Z. Yao, H. Bradley, K. Paramor An integrated design and planning environment for welding: Part 1: Product modelling Journal of Materials Processing Technology, 107 (1) (2000), pp. 3-8
  4. Reeves RE (1988) Expert system technology—an avenue to an intelligent weld process control system. Weld J 67(6):33–41
  5. Zha X. F., Du H., ‗Generation and simulation of robot trajectories in a virtual CAD-based off-line programming environment‘ Int. J. Advd Mfg Technol. 17 (8) (2001): 610–624.
  6. Reeves RE (1988) Expert system technology—an avenue to an intelligent weld process control system. Weld J 67(6):33–41
  7. G. Vosniakos, A. Chronopoulos Industrial robot path planning in a constraint-based computer-aided design and kinematic analysis environment. in: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223 (5) (2009), pp. 523-533
  8. . Pan, J. Polden, N. Larkin, S. Van Duin, J. Norrish Recent progress on programming methods for industrial robots Robotics and Computer- Integrated Manufacturing, 28 (2) (2012), pp. 87-94

Article full text

Download PDF