CPFD Model Optimization for Simulation of Segregation in a Fluidized Bed of Particles with Different Sizes and Densities | AIChE

CPFD Model Optimization for Simulation of Segregation in a Fluidized Bed of Particles with Different Sizes and Densities

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Many industrial fluidized beds comprise of mixtures of particles with different sizes and densities. In order to achieve uniform fluidization and avoid segregation, the particle feed sizes can be optimized versus the fluidizing velocity. Optimization for different operating scenarios can be achieved by CPFD modeling, if the modeling parameters are fine-tuned based on a proper set of experimental data. Here, reported test data trends of particle segregation are compared with multiple sets of CPFD models, to show that pertinent modeling can reasonably predict the actual behavior of solids mixture, under a range of velocities.

Abstract