A solution algorithm for fluid–particle flows across all flow regimes
Many fluid–particle flows occurring in nature and in technological applications exhibit large variations in the local particle volume fraction. For example, in circulating fluidized beds there are regions where the particles are closepacked as well as very dilute regions where particle–particle collisions are rare. Thus, in order to simulate such fluid–particle systems, it is necessary to design a flow solver that can accurately treat all flow regimes occurring simultaneously in the same flow domain. In this work, a solution algorithm is proposed for this purpose. The algorithm is based on splitting the freetransport flux solver dynamically and locally in the flow. In closepacked to moderately dense regions, a hydrodynamic solver is employed, while in dilute to very dilute regions a kineticbased finitevolume solver is used in conjunction with quadraturebased moment methods. To illustrate the accuracy and robustness of the proposed solution algorithm, it is implemented in OpenFOAM for particle velocity moments up to second order, and applied to simulate gravitydriven, gas–particle flows exhibiting clusterinduced turbulence. By varying the average particle volume fraction in the flow domain, it is demonstrated that the flow solver can handle seamlessly all flow regimes present in fluid–particle flows.
 Authors:

^{[1]}
;
^{[2]}
 Ames Lab., Ames, IA (United States)
 Ames Lab., Ames, IA (United States); Iowa State Univ., Ames, IA (United States)
 Publication Date:
 Report Number(s):
 ISJ 9348
Journal ID: ISSN 00219991; PII: S0021999117303820
 Grant/Contract Number:
 AC0207CH11358
 Type:
 Accepted Manuscript
 Journal Name:
 Journal of Computational Physics
 Additional Journal Information:
 Journal Volume: 344; Journal Issue: C; Journal ID: ISSN 00219991
 Publisher:
 Elsevier
 Research Org:
 Ames Laboratory (AMES), Ames, IA (United States)
 Sponsoring Org:
 USDOE
 Country of Publication:
 United States
 Language:
 English
 Subject:
 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
 OSTI Identifier:
 1368053
 Alternate Identifier(s):
 OSTI ID: 1415331
Kong, Bo, and Fox, Rodney O. A solution algorithm for fluid–particle flows across all flow regimes. United States: N. p.,
Web. doi:10.1016/j.jcp.2017.05.013.
Kong, Bo, & Fox, Rodney O. A solution algorithm for fluid–particle flows across all flow regimes. United States. doi:10.1016/j.jcp.2017.05.013.
Kong, Bo, and Fox, Rodney O. 2017.
"A solution algorithm for fluid–particle flows across all flow regimes". United States.
doi:10.1016/j.jcp.2017.05.013. https://www.osti.gov/servlets/purl/1368053.
@article{osti_1368053,
title = {A solution algorithm for fluid–particle flows across all flow regimes},
author = {Kong, Bo and Fox, Rodney O.},
abstractNote = {Many fluid–particle flows occurring in nature and in technological applications exhibit large variations in the local particle volume fraction. For example, in circulating fluidized beds there are regions where the particles are closepacked as well as very dilute regions where particle–particle collisions are rare. Thus, in order to simulate such fluid–particle systems, it is necessary to design a flow solver that can accurately treat all flow regimes occurring simultaneously in the same flow domain. In this work, a solution algorithm is proposed for this purpose. The algorithm is based on splitting the freetransport flux solver dynamically and locally in the flow. In closepacked to moderately dense regions, a hydrodynamic solver is employed, while in dilute to very dilute regions a kineticbased finitevolume solver is used in conjunction with quadraturebased moment methods. To illustrate the accuracy and robustness of the proposed solution algorithm, it is implemented in OpenFOAM for particle velocity moments up to second order, and applied to simulate gravitydriven, gas–particle flows exhibiting clusterinduced turbulence. By varying the average particle volume fraction in the flow domain, it is demonstrated that the flow solver can handle seamlessly all flow regimes present in fluid–particle flows.},
doi = {10.1016/j.jcp.2017.05.013},
journal = {Journal of Computational Physics},
number = C,
volume = 344,
place = {United States},
year = {2017},
month = {5}
}