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Related Experiment Videos

Chaos suppression in gas-solid fluidization.

Deborah V. Pence1, Donald E. Beasley

  • 1University of Rhode Island, Department of Mechanical Engineering, 92 Upper College Road, Kingston, Rhode Island 02881.

Chaos (Woodbury, N.Y.)
|June 5, 2003
PubMed
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Chaotic behavior in gas-solid fluidization can be suppressed by introducing an opposing oscillatory flow. This study demonstrates significant chaos suppression in bubbling fluidized beds using specific flow rates and a 15 Hz oscillation frequency.

Area of Science:

  • Fluidization dynamics
  • Nonlinear systems analysis
  • Chaos theory in granular materials

Background:

  • Fluidization involves a balance between gravity and fluid flow forces.
  • Density differences can lead to instabilities and bubble formation in the bubbling regime.
  • Gas-solid fluidized beds exhibit self-excited nonlinear system behavior.

Purpose of the Study:

  • To investigate the suppression of chaos in gas-solid fluidization.
  • To examine the effect of an opposing oscillatory flow on chaotic behavior.
  • To analyze pressure dynamics in a bubbling fluidized bed under secondary flow conditions.

Main Methods:

  • Acquisition of time series data for local, instantaneous pressure.
  • Experimental setup in a horizontal cylinder submerged in a bubbling fluidized bed.

Related Experiment Videos

  • Analysis of pressure signals using Kolmogorov entropy estimates.
  • Main Results:

    • Deterministic chaos was observed in the absence of secondary flow.
    • An opposing oscillatory flow substantially suppressed chaotic behavior.
    • Phase-locking phenomenon observed coincident with the imposed frequency.
    • Greatest suppression occurred at low primary/secondary flow rates and 15 Hz oscillation frequency.

    Conclusions:

    • Opposing oscillatory flow is an effective method for chaos suppression in gas-solid fluidization.
    • The phenomenon is dependent on flow rates and oscillation frequency.
    • Findings contribute to understanding and controlling nonlinear dynamics in fluidized beds.