• DocumentCode
    3355328
  • Title

    A novel surface self-adapting parallel machine tool for blade machining

  • Author

    Yang, Xu ; Zhao, Ji ; Zhang, Lei ; Li, Daqi ; Li, Ruiqing

  • Author_Institution
    Inst. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3921
  • Lastpage
    3926
  • Abstract
    The finish machining of blade is very difficult because of its very complicated free-form surface. To improve the machining efficiency and quality of blade, a novel machine tool with parallel robotic mechanism is designed to meet the demand for finish machining of blade. At first, the structure of the designed machine tool is introduced and its kinematics analysis is deduced. Moreover, based on the measured data from three-dimensional measuring machine, the impeller blade model is constructed. A group of section profiles are selected and as a numerical example, one of them is fitted with a polynomial function, furthermore, the curvature of the selected profile is analyzed. In addition, the machining movement is programmed, which provides available information for the parameter design of machine tool. From the analytical results, it is proved that the proposed novel configuration of machine tool is feasible to machine free-form surface blades.
  • Keywords
    blades; impellers; industrial robots; machine tools; machining; polynomials; robot kinematics; blade machining; finish machining; free-form surface; impeller blade model; kinematics analysis; parallel robotic mechanism; polynomial function; surface self-adapting parallel machine tool; three-dimensional measuring machine; Blades; Computer numerical control; Impellers; Kinematics; Machine tools; Machining; Parallel machines; Parallel robots; Surface finishing; Turbines; free-form surface blade; kinematics analysis; parallel machine tool;
  • 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.2009.5244886
  • Filename
    5244886