• DocumentCode
    526390
  • Title

    Notice of Retraction
    Automatic generation of weld models for railway rolling stock

  • Author

    Kataoka, I. ; Yokohari, T. ; Nishigaki, I. ; Numata, S.

  • Author_Institution
    Mech. Eng. Res. Lab., Hitachi, Ltd., Hitachinaka, Japan
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    231
  • Lastpage
    234
  • 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.

    The air-conditioning equipment and other structures attached to railway rolling stock are plate objects joined by a spot or an intermittent welding. The finite element (FE) modeling of such plate objects is very time-consuming due to the large number of spot and intermittent welds that must be modeled. We developed automatic weld modeling technology, with the aim of reducing the procedures for FE modeling. Applied to a test cover model, the technology reduced the modeling time to 1/3. And FE stress analysis showed that the result accorded to an experimental data within an error range of 11%.
  • Keywords
    air conditioning; finite element analysis; railways; air conditioning equipment; automatic generation; finite element modeling; intermittent welding; railway rolling stock; weld models; Accuracy; Analytical models; Atmospheric modeling; Design automation; Iron; Solid modeling; Welding; FEM; beam mesh; component; intermittent weld; shell mesh; spot weld;
  • 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.2010.5563731
  • Filename
    5563731