• DocumentCode
    2103200
  • Title

    Generalized correlations for the estimation of condensate power in flooded cylinders

  • Author

    Ramirez A, Guillermo ; Valenzuela, M. Anibal ; Lorenz, Robert D.

  • Author_Institution
    Fac. of Eng., Univ. Catolica de la Ssma. Concepcion, Concepcion, Chile
  • fYear
    2013
  • fDate
    23-27 June 2013
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Condensate accumulated inside dryer cylinders will produce an increased power demand and eventually the inability of the dryer drive to accelerate the section. In a previous paper these authors presented an online estimation algorithm capable of detecting the presence of condensate during a section starting. In this paper a complete set of tests is run over two experimental cylinders covering up to 40% of cylinder volumes and the complete set of power curves are reported and analyzed. Specifically, the presence of a combined cascading - rimming region in the medium to high condensate loads is confirmed. This combined mode modifies the pattern followed by the maximum power in the low condensate region. Using this data, high-order and simplified correlations are proposed for the estimation of condensate in flooded dryer cylinders. These new correlations increase the capacity of the online estimation algorithm to give good estimations of the condensate load present inside the dryer cylinders up to 55 mm of rim thickness.
  • Keywords
    drying; production equipment; combined cascading-rimming region; condensate loads; condensate power estimation; flooded cylinders; flooded dryer cylinders; generalized correlations; low condensate region; online estimation algorithm; power curves; power demand; section starting; size 400 mm to 600 mm; Estimation; Force; Heating; condensate observer; dryer cylinders; paper machine; power requirements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pulp and Paper Industry Technical Conference (PPIC), Conference Record of 2013 Annual IEEE
  • Conference_Location
    Charlotte, NC
  • ISSN
    0190-2172
  • Print_ISBN
    978-1-4673-5098-3
  • Type

    conf

  • DOI
    10.1109/PPIC.2013.6656045
  • Filename
    6656045