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Flow Regime Identification in Gas-Liquid-Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks

[+] Author Affiliations
T. Xie, S. M. Ghiaasiaan

Georgia Institute of Technology, Atlanta, GA

S. Karrila

Institute of Paper Science and Technology, Atlanta, GA

Paper No. IMECE2003-41822, pp. 99-100; 2 pages
doi:10.1115/IMECE2003-41822
From:
  • ASME 2003 International Mechanical Engineering Congress and Exposition
  • Heat Transfer, Volume 4
  • Washington, DC, USA, November 15–21, 2003
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 0-7918-3718-1 | eISBN: 0-7918-4663-6, 0-7918-4664-4, 0-7918-4665-2
  • Copyright © 2003 by ASME

abstract

Gas-liquid-pulp fiber slurry three-phase flows are encountered in a number of stages in paper making, including flotation deinking, delignification and bleaching. In most of these stages the objective is to promote mass transfer between the gas and liquid-pulp mixture, often accompanied by chemical reaction. Efficient operation of these devices evidently depends on the degree of mixing they support, and hence on their flow regimes. On-line, non-intrusive monitoring of flow regimes in these systems can thus be valuable for diagnostics and control. The behavior of gas-liquid pulp slurry mixture is different than gas-liquid two-phase flows, primarily due to the flocculation phenomena, whereby at consistencies (weight fraction of dry pulp in the water-pulp mixture) as low as 0.5% three-dimensional networks of pulp form, with their size and strength increasing as consistency is increased (Bennington, 1989; Lindsay et al., 1995; Heindel and Garner, 1999).

Copyright © 2003 by ASME

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