• DocumentCode
    526318
  • Title

    Notice of Retraction
    Five-axis machining time estimation algorithm based on machine characteristics

  • Author

    Wang Hong-bo ; Sheng Guo-cheng

  • Author_Institution
    Res. Center of Electromech. Technol., Zhejiang Normal Univ., Jinhua, China
  • Volume
    6
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    In this paper, we present a machining time estimation algorithm for five-axis high-speed machining. and propose an algorithm based on five-axis machine behavior in order to predict machining time more exactly. first, it is needed to investigate the operational characteristics of five-axis machines. Then, we defined some dominant factors, including feed angle that is an independent variable for machining speed. With these factors, we have developed a machining time calculation algorithm that has a good accuracy not only in three-axis machining, but also in five-axis high-speed machining.
  • Keywords
    machining; five-axis machining time estimation algorithm; machine characteristics; machining speed; operational characteristics; time calculation algorithm; Artificial neural networks; Process control; Feed angle; Five-axis; Machine behavior; Machining time; NC data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5563577
  • Filename
    5563577