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Investigation of the Pressure Drop Across Packed Beds of Spherical Beads: Comparison of Empirical Models With Pore-Level Computational Fluid Dynamics Simulations

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Investigation of the Pressure Drop Across Packed Beds of Spherical Beads : Comparison of Empirical Models With Pore-Level Computational Fluid Dynamics Simulations. / Otaru, A.J.; Kennedy, A.R.

In: Journal of Fluids Engineering, Vol. 141, No. 7, 071305, 08.04.2019.

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@article{a99628424438412abe592e4ecd99eabe,
title = "Investigation of the Pressure Drop Across Packed Beds of Spherical Beads: Comparison of Empirical Models With Pore-Level Computational Fluid Dynamics Simulations",
abstract = "This study uses novel methods, combining discrete element method (DEM) simulations for packing and computational fluid dynamics (CFD) modeling of fluid flow, to simulate the pressure drop across rigid, randomly packed beds of spheres ranging from 1 to 3 mm in diameter, with porosities between 0.34 and 0.45. This modeling approach enables the combined effect of void fraction and particle size to be studied in more depth than that has been previously possible and is used to give insight into the ability of the well-established Ergun equation to predict the pressure drop behavior. The resulting predictions for pressure drop as a function of superficial velocity were processed to yield coefficients α and β in the Ergun equation and were found to be in keeping with equivalent data in the literature. Although the scatter in α with structural variations was very small, the scatter in β was large (±20%), leading to inaccuracies when used to predict pressure drop data at velocities beyond the Darcy regime. Evaluation of the packed particle structures showed that regions of poor packing, in samples with high porosity and large particle sizes, lead to lower β values. The findings bring strong support to the belief that a generalized model, such as that by Ergun, cannot yield a unique value for β, even for identical spheres.",
keywords = "computational fluid dynamics, permeability, porous media, Drops, Finite difference method, Forecasting, Mechanical permeability, Packed beds, Particle size, Porosity, Porous materials, Pressure drop, Spheres, Two phase flow, Void fraction, Computational fluid dynamics modeling, Computational fluid dynamics simulations, Generalized models, Large particle sizes, Particle structure, Randomly packed beds, Structural variations, Superficial velocity, Computational fluid dynamics",
author = "A.J. Otaru and A.R. Kennedy",
year = "2019",
month = apr,
day = "8",
doi = "10.1115/1.4042957",
language = "English",
volume = "141",
journal = "Journal of Fluids Engineering",
issn = "0098-2202",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "7",

}

RIS

TY - JOUR

T1 - Investigation of the Pressure Drop Across Packed Beds of Spherical Beads

T2 - Comparison of Empirical Models With Pore-Level Computational Fluid Dynamics Simulations

AU - Otaru, A.J.

AU - Kennedy, A.R.

PY - 2019/4/8

Y1 - 2019/4/8

N2 - This study uses novel methods, combining discrete element method (DEM) simulations for packing and computational fluid dynamics (CFD) modeling of fluid flow, to simulate the pressure drop across rigid, randomly packed beds of spheres ranging from 1 to 3 mm in diameter, with porosities between 0.34 and 0.45. This modeling approach enables the combined effect of void fraction and particle size to be studied in more depth than that has been previously possible and is used to give insight into the ability of the well-established Ergun equation to predict the pressure drop behavior. The resulting predictions for pressure drop as a function of superficial velocity were processed to yield coefficients α and β in the Ergun equation and were found to be in keeping with equivalent data in the literature. Although the scatter in α with structural variations was very small, the scatter in β was large (±20%), leading to inaccuracies when used to predict pressure drop data at velocities beyond the Darcy regime. Evaluation of the packed particle structures showed that regions of poor packing, in samples with high porosity and large particle sizes, lead to lower β values. The findings bring strong support to the belief that a generalized model, such as that by Ergun, cannot yield a unique value for β, even for identical spheres.

AB - This study uses novel methods, combining discrete element method (DEM) simulations for packing and computational fluid dynamics (CFD) modeling of fluid flow, to simulate the pressure drop across rigid, randomly packed beds of spheres ranging from 1 to 3 mm in diameter, with porosities between 0.34 and 0.45. This modeling approach enables the combined effect of void fraction and particle size to be studied in more depth than that has been previously possible and is used to give insight into the ability of the well-established Ergun equation to predict the pressure drop behavior. The resulting predictions for pressure drop as a function of superficial velocity were processed to yield coefficients α and β in the Ergun equation and were found to be in keeping with equivalent data in the literature. Although the scatter in α with structural variations was very small, the scatter in β was large (±20%), leading to inaccuracies when used to predict pressure drop data at velocities beyond the Darcy regime. Evaluation of the packed particle structures showed that regions of poor packing, in samples with high porosity and large particle sizes, lead to lower β values. The findings bring strong support to the belief that a generalized model, such as that by Ergun, cannot yield a unique value for β, even for identical spheres.

KW - computational fluid dynamics

KW - permeability

KW - porous media

KW - Drops

KW - Finite difference method

KW - Forecasting

KW - Mechanical permeability

KW - Packed beds

KW - Particle size

KW - Porosity

KW - Porous materials

KW - Pressure drop

KW - Spheres

KW - Two phase flow

KW - Void fraction

KW - Computational fluid dynamics modeling

KW - Computational fluid dynamics simulations

KW - Generalized models

KW - Large particle sizes

KW - Particle structure

KW - Randomly packed beds

KW - Structural variations

KW - Superficial velocity

KW - Computational fluid dynamics

U2 - 10.1115/1.4042957

DO - 10.1115/1.4042957

M3 - Journal article

VL - 141

JO - Journal of Fluids Engineering

JF - Journal of Fluids Engineering

SN - 0098-2202

IS - 7

M1 - 071305

ER -