Abstract

Dense Discrete Phase Model Coupled with Kinetic Theory of Granular Flow to Improve Predictions of Bubbling Fluidized Bed Hydrodynamics

Highlights

  • The vigorous mixing of powders and granules by means of a fluidization agent has introduced the fluidized beds as one of the best tools for powder processing specially when high heat and mass transfer rates are needed (Grace, 1990; Kunii and Levenspiel, 1991)

  • Single bubble and freely bubbling fluidized beds were used to compare the ability of a modified hybrid Eulerian Lagrangian model for the prediction of single and multiple bubble behavior

  • Dense Discrete Phase Model coupled with kinetic theory of granular flows was used to build the model

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Summary

Introduction

The vigorous mixing of powders and granules by means of a fluidization agent has introduced the fluidized beds as one of the best tools for powder processing specially when high heat and mass transfer rates are needed (Grace, 1990; Kunii and Levenspiel, 1991). Eulerian-Eulerian methods consider both gas phase and solid phase as continuous phases and add the granular properties of the solid phase using with kinetic theory of granular flows (KTGF) (Ding and Gidaspow, 1990) These methods are good for the simulation of uniform particle systems in the reactors up to a pilot scale. The event driven hard sphere and time driven hard sphere methods are simplified collision methods suffering from complex algorithm to search for particle-particle collisions in dense and polydisperse systems (Hoomans et al, 1996) There is another approach to simplify the collisions using solid stress from Eulerian framework. The particle volume faction and velocity are mapped to the Eulerian grid and the solid stress tensor is calculated and mapped back to the particles This approach has been used by several authors to study large scale fluidized beds for different applications due to their low computational cost. Their effects on the formation of bubbles and hydrodynamics of bubbling beds were studied in this work

Hybrid model equations
Boundary condition and solver setup
Results and discussions
Conclusion
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