• Title of article

    Natural mode estimation of cutting dynamics with time series modelling

  • Author/Authors

    M.C. Yoon، نويسنده , , B.T. Kim، نويسنده , , K.H. Kim، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    10
  • From page
    1373
  • To page
    1382
  • Abstract
    There are many algorithms of time series to get the natural mode of structural dynamics considering cutting process dynamics. In this study, several time series such as AR (burg, least square, yule walker, geometric lattice, instrument variable) algorithm, ARX (arx, iv4), ARMAX, auto regressive moving average (ARMA), Box Jenkins, output error, recursive arx and recursive armax were compared with one another. As a result, arx, armax and iv4 are proved very reliable algorithms for the calculation of the modal parameters such as natural frequency and damping ratio in endmilling operation. Also, rarx and rarmax can be used for the on-line modelling of time series.
  • Keywords
    Auto regressive moving average , Cutting dynamics , Natural mode , Time series modelling
  • Journal title
    Journal of Materials Processing Technology
  • Serial Year
    2004
  • Journal title
    Journal of Materials Processing Technology
  • Record number

    1178856