• DocumentCode
    3345241
  • Title

    Volumetric error identification for CNC machine tool based on multi-body system and vector diagonal measurement

  • Author

    He, Zhenya ; Fu, Jianzhong ; Yao, Xinhua ; Qian, Wenjie

  • Author_Institution
    Dept. of Mech. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    3345
  • Lastpage
    3349
  • Abstract
    To reduce the influence of the geometric error on machining precision of CNC machine, a new method based on multi-body system theory and the laser sequential step diagonal vector measurement method to distinguish the geometric errors of CNC machine tool was presented. Firstly geometric errors modeling of CNC machine tool based on multi-body system theory was established. Then laser sequential step diagonal vector measurement method was introduced. Finally comparison experiments of the directly traditional method and the laser vector diagonal measurement method were done, besides, error compensation experiment of CNC machine tool was done. The results show that the new method combined multi-body system theory and laser sequential step diagonal vector measurement method is feasible to distinguish the geometric errors and after compensation machine accuracy is improved by 63%.
  • Keywords
    computerised numerical control; error compensation; machine tools; CNC machine tool; error compensation; geometric errors modeling; laser sequential step diagonal vector measurement method; machining precision; multibody system theory; vector diagonal measurement; volumetric error identification; Computer errors; Computer numerical control; Error correction; Laser modes; Laser theory; Machine tools; Machining; Power measurement; Solid modeling; Volume measurement; CNC machine tool; Geometric error; multi-body system; vector diagonal measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535373
  • Filename
    5535373