• DocumentCode
    3369671
  • Title

    Path planning for automatic robotic blade grinding

  • Author

    Zhao, Yang ; Zhao, Ji ; Zhang, Lei ; Qi, Lizhe ; Tang, Qing

  • Author_Institution
    Dept. of Mech. Eng., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    1556
  • Lastpage
    1560
  • Abstract
    This paper presents a robotic blade grinding system controlled by a PC and a robot controller. The system consists of a six-degree-of-freedom (DOF) industrial robot, a flexible belt grinding machine and a control computer. Robotic blade grinding operation is performed by mounting the turbine blade to the robot flange and executing the robot program to move the robot along a trajectory while maintaining contact with the contact wheel of the abrasive belt grinding machine. Since the blade grinding process is complicated and mainly operated by skilled workers, it is not practical to program the industrial robot with a teach pendant manually. Therefore, this paper proposes a method of path planning for the robotic blade grinding automatically. The robot program which contains the grinding path is generated by PC. Finally, the generated path is successfully applied in robotic blade grinding system. The experiment results prove that the proposed method is effective and feasible.
  • Keywords
    blades; grinding; grinding machines; industrial robots; path planning; abrasive belt grinding machine; automatic robotic blade grinding; blade grinding process; flexible belt grinding machine; industrial robot; path planning; robot controller; robotic blade grinding system; turbine blade; Automatic control; Belts; Blades; Control systems; Grinding machines; Mobile robots; Path planning; Robot control; Robotics and automation; Service robots; abrasive belt grinding; path planning; robotic grinding; turbine blade;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246534
  • Filename
    5246534