• DocumentCode
    838819
  • Title

    Cockle formation in coated magazine paper production

  • Author

    Stefanov, Zdravko I. ; Hoo, Karlene A. ; McAdams, Wayne ; Champagne, Marc

  • Author_Institution
    Dept. of Chem. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • Volume
    23
  • Issue
    6
  • fYear
    2003
  • Firstpage
    59
  • Lastpage
    68
  • Abstract
    In this work, a two level hierarchical approach was proposed and used to analyze cockle phenomena found in the paper manufacturing process. The hierarchy is general for process that produces 3D data sets. The first level performs as a 3D decomposition (Tucker3) while the second level employs a 2D analysis (PLS) of the loadings supplied by the first level. The analysis showed that the important sections of the paper machine that contributed to cockle were Kraft refiners, etc. These are the locations that are expected to contribute to cockle from process knowledge. A calibration model was then developed. The predictive nature of the model was shown to be satisfactory to predict cockle index for reel data that were not a part of the calibration data. Online monitoring and detection applications are possible with this two-level hierarchical structure. It is necessary to use PARAFAC to detect when to recalibrate because the core is unique and every new decomposition is similar to a projection onto the same core. With respect to the use of two-level hierarchical approach to similar processes, such as fiber spinning or continuous casting. It is believed that the two-level hierarchy may be used successfully, at least for diagnosis. However, it should be carefully assessed if the assumptions made in the present case hold in other cases. Additional research is needed to confirm the two-level hierarchy for other processes.
  • Keywords
    least squares approximations; manufacturing processes; paper making; paper making machines; principal component analysis; process monitoring; casting; coated magazine paper production; cockle formation; data driven model development; detection applications; fiber spinning; machine-direction-oriented wrinkles; manufacturing process; online monitoring; two-level hierarchical approach; Density measurement; Finishing; Optical fiber devices; Paper making machines; Predictive models; Printing; Production; Sampling methods; Spectroscopy; Time measurement;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2003.1251182
  • Filename
    1251182