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Stochastic simulation of hydrodynamics of a liquid-solid inverse fluidized bed
, K. Krishnaiah
Published in American Chemical Society
2004
Volume: 43
   
Issue: 15
Pages: 4405 - 4412
Abstract
The stochastic method of Monte Carlo simulation is used to predict the hydrodynamic characteristics of a liquid-solid inverse fluidized bed for various particle sizes and densities. Pressure drop, bed voidage, and minimum fluidization velocity under steady-state conditions are predicted. Unsteady-state bed expansion/contraction for a step change in liquid flow rate is also simulated. To validate the simulation, experiments are conducted to measure the different hydrodynamic variables such as pressure drop, bed voidage, and minimum fluidization velocity under steady-state conditions and unsteady-state bed expansion/contraction. The predicted values of the hydrodynamic variables compare satisfactorily with the experimental data under both steady- and unsteady-state conditions.
About the journal
JournalData powered by TypesetIndustrial and Engineering Chemistry Research
PublisherData powered by TypesetAmerican Chemical Society
ISSN08885885
Open AccessNo
Concepts (28)
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    Computer simulation
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    Fluidized beds
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    Hydrodynamics
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    Monte carlo methods
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    Particle size analysis
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    Pressure drop
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    Bed voidage
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    STEADY-STATE CONDITIONS
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    Stochastic simulation
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    Chemical industry
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    Fluidized bed
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    LIQUID-SOLID TWO-PHASE FLOW
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    Mathematical analysis
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    Monte carlo simulation
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    STOCHASTIC METHOD
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    Article
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    Density
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    Flow kinetics
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    Flow rate
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    Monte carlo method
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    Particle size
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    Phase transition
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    Prediction
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    Pressure
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    Steady state
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    Stochastic model
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    Validation process
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    Velocity