Pore-scale study of fluid flow and drag force in randomly packed beds of different porosities

Yongli Wu, Qinfu Hou, Aibing Yu

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle-fluid flow. This work presents a pore-scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect and thus can be applied to flows of high Reynolds numbers. The results show the structure heterogeneity associated with the connection of pores is important in determining the distribution of fluid flow. The statistical distribution of normalized drag forces on individual particles is Gaussian, related to the statistical distribution of pore properties. The mean drag force of a bed by the pore-scale model agrees well with that from a previous study by the lattice-Boltzmann method. These findings support the application of the pore network model for simulating particle-fluid flows under a wider range of Reynolds numbers.

Original languageEnglish
Pages (from-to)5041-5053
Number of pages13
JournalIndustrial and Engineering Chemistry Research
Volume58
Issue number12
DOIs
Publication statusPublished - 27 Mar 2019

Cite this

@article{0d02a0404dde4f4cbdd68b4fdb237819,
title = "Pore-scale study of fluid flow and drag force in randomly packed beds of different porosities",
abstract = "Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle-fluid flow. This work presents a pore-scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect and thus can be applied to flows of high Reynolds numbers. The results show the structure heterogeneity associated with the connection of pores is important in determining the distribution of fluid flow. The statistical distribution of normalized drag forces on individual particles is Gaussian, related to the statistical distribution of pore properties. The mean drag force of a bed by the pore-scale model agrees well with that from a previous study by the lattice-Boltzmann method. These findings support the application of the pore network model for simulating particle-fluid flows under a wider range of Reynolds numbers.",
author = "Yongli Wu and Qinfu Hou and Aibing Yu",
year = "2019",
month = "3",
day = "27",
doi = "10.1021/acs.iecr.8b06418",
language = "English",
volume = "58",
pages = "5041--5053",
journal = "Industrial and Engineering Chemistry Research",
issn = "0888-5885",
number = "12",

}

Pore-scale study of fluid flow and drag force in randomly packed beds of different porosities. / Wu, Yongli; Hou, Qinfu; Yu, Aibing.

In: Industrial and Engineering Chemistry Research, Vol. 58, No. 12, 27.03.2019, p. 5041-5053.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Pore-scale study of fluid flow and drag force in randomly packed beds of different porosities

AU - Wu, Yongli

AU - Hou, Qinfu

AU - Yu, Aibing

PY - 2019/3/27

Y1 - 2019/3/27

N2 - Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle-fluid flow. This work presents a pore-scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect and thus can be applied to flows of high Reynolds numbers. The results show the structure heterogeneity associated with the connection of pores is important in determining the distribution of fluid flow. The statistical distribution of normalized drag forces on individual particles is Gaussian, related to the statistical distribution of pore properties. The mean drag force of a bed by the pore-scale model agrees well with that from a previous study by the lattice-Boltzmann method. These findings support the application of the pore network model for simulating particle-fluid flows under a wider range of Reynolds numbers.

AB - Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle-fluid flow. This work presents a pore-scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect and thus can be applied to flows of high Reynolds numbers. The results show the structure heterogeneity associated with the connection of pores is important in determining the distribution of fluid flow. The statistical distribution of normalized drag forces on individual particles is Gaussian, related to the statistical distribution of pore properties. The mean drag force of a bed by the pore-scale model agrees well with that from a previous study by the lattice-Boltzmann method. These findings support the application of the pore network model for simulating particle-fluid flows under a wider range of Reynolds numbers.

UR - http://www.scopus.com/inward/record.url?scp=85063585531&partnerID=8YFLogxK

U2 - 10.1021/acs.iecr.8b06418

DO - 10.1021/acs.iecr.8b06418

M3 - Article

VL - 58

SP - 5041

EP - 5053

JO - Industrial and Engineering Chemistry Research

JF - Industrial and Engineering Chemistry Research

SN - 0888-5885

IS - 12

ER -