CFD modeling of solid–liquid fluidized beds of mono and binary particle mixtures

Reddy, Rupesh K.; Joshi, Jyeshtharaj B.

doi:10.1016/j.ces.2009.05.004

Cited by 81 publications

(42 citation statements)

References 34 publications

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“…Nevertheless, the experimental data and the numerical modeling results reported in the literature consistently reveal the same trend of solid concentration variation in the transition zone, as shown in Figure . For data in the region close to the top surface of the bed where the solid concentration is decreasing due to hydrodynamic instabilities have been excluded.…”

Section: Model Developmentsupporting

confidence: 76%

A simple model for predicting solid concentration distribution in binary‐solid liquid fluidized beds

2016

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A simple mathematical model for predicting the solid concentration profile in binary‐solid liquid fluidized beds is presented. The main assumption is that the solid concentration distribution follows the logistic function, which is supported by the literature. Various equations have been derived to solve key system quantities (e.g., bed expansion height, length and position of the transition zone). In contrast to previous models that often involve adjustable parameters and strongly rely on the availability of experimental data, the present model only requires inputs of fluid and particle properties, operating conditions, and correlations for dispersion and slip velocity. The results showed that the model is applicable to different binary‐solid systems that have size and/or density differences. The model's capability of predicting the layer inversion phenomenon has also been demonstrated. The model is simple but proves capable of accurately predicting key information for the design, operation and scale up of liquid fluidized beds. © 2016 American Institute of Chemical Engineers AIChE J, 63: 469–484, 2017

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Section: Model Developmentsupporting

confidence: 76%

A simple model for predicting solid concentration distribution in binary‐solid liquid fluidized beds

2016

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“…The continuum models have been used for modeling granular flows for more than three decades and have been well documented (Gidaspow, 1992). Numerous CFD studies using both continuum and discrete modeling approach to study fluidized bed with two or more different type of solid particles have shown that CFD can capture the experimental trends in a reasonable fashion (Van Wachem et al, 2001;Huilin et al, 2003;Gera et al, 2004;Cooper and Cornonella, 2005;Beetstra et al, 2007;Reddy and Joshi, 2009).…”

Section: The Cfd Modelmentioning

confidence: 99%

CFD simulation of a chemical-looping fuel reactor utilizing solid fuel

Mahalatkar

Kuhlman

Huckaby

et al. 2011

Chemical Engineering Science

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“…Since the turbulence model does not have a significant effect on the bed hydrodynamics simulations [14], the standard k-e model was employed in the fluidized bed simulation [23].…”

Section: Numerical Simulationsmentioning

confidence: 99%

Effects of Restitution and Specularity Coefficients on Solid‐Liquid Fluidized Bed Hydrodynamics

et al. 2015

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An Eulerian-Eulerian two-fluid model in combination with the kinetic theory of granular flow was applied to simulate a solid-liquid fluidized bed filled with stainless-steel particles. The drag model of Gidaspow used in computational fluid dynamics simulations proved to be the appropriate model for predicting the bed hydrodynamics. The effect of the restitution coefficient of the particles on the bed hydrodynamics was investigated numerically. For the solid phase wall boundary condition according to Johnson and Jackson a specularity coefficient was introduced and evaluated. The change in specularity coefficient did not affect considerably the bed behavior at the middle part, but at the walls it significantly influenced the granular temperature. For specularity coefficients more than 0.5 the results do not change noticeably.

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CFD modeling of solid–liquid fluidized beds of mono and binary particle mixtures

Cited by 81 publications

References 34 publications

A simple model for predicting solid concentration distribution in binary‐solid liquid fluidized beds

A simple model for predicting solid concentration distribution in binary‐solid liquid fluidized beds

CFD simulation of a chemical-looping fuel reactor utilizing solid fuel

Effects of Restitution and Specularity Coefficients on Solid‐Liquid Fluidized Bed Hydrodynamics

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