• DocumentCode
    3587121
  • Title

    A practical method for weld seam position detection

  • Author

    Runxin Qu ; Sijun Zhu ; Xiaowei An ; Yuanyuan Zou

  • Author_Institution
    Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
  • fYear
    2014
  • Firstpage
    2558
  • Lastpage
    2563
  • Abstract
    Weld seam position detection mainly relies on initial point detection of weld seam in robotic welding automation. In industry factory, the position data for weld seam are usually detected through contact measurement sensor before welding. Such a method is not suitable in heavy industry, since length of weld seam may reach to ten meters which results in time-consuming position detection which will reduce the duty cycle of the equipment and lowered the cost-effective of welding equipment significantly. To satisfy the huge demand of market in industries mentioned above, a method based on scanning-spotlights and calibration technique with laser range finder sensors is proposed in this paper. The duty cycle of the equipment is improved significantly through separating welding motion system and weld seam position detection system. It not only meets welding position precision requirement, but also reduces the costs considerably. Moreover, the cost-effective is improved significantly.
  • Keywords
    calibration; factory automation; laser ranging; motion control; position control; robotic welding; calibration technique; contact measurement sensor; equipment duty cycle; heavy industry; industry factory; laser range finder sensors; robotic welding automation; scanning-spotlights; time-consuming position detection; weld seam position detection system; welding equipment; welding motion system; welding position precision requirement; Automation; Calibration; Lasers; Robot sensing systems; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090726
  • Filename
    7090726