• Title of article

    Prediction of machined part accuracy from machining system capability

  • Author/Authors

    Archenti، نويسنده , , Andreas، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    4
  • From page
    505
  • To page
    508
  • Abstract
    A novel methodology for linking machining system capability to the accuracy of a machined part is presented. Using special testing equipment, force-deviation functions in the real machine workspace are obtained. An elastically linked multi-body simulation and FE model evaluates the volumetric deviations. The deviation values are then calculated for a particular tool path. The forces and the deviations along the tool path are computed and compared with results obtained from machining experiments. This approach yields elimination of laborious machining experiments and supports an unequivocal control of machining system conditions giving the required level of part accuracy.
  • Keywords
    accuracy , Elastically Linked System (ELS) , machine tool
  • Journal title
    CIRP Annals - Manufacturing Technology
  • Serial Year
    2014
  • Journal title
    CIRP Annals - Manufacturing Technology
  • Record number

    2270120