A solution algorithm for fluid–particle flows across all flow regimes

Kong, Bo; Fox, Rodney O.

doi:10.1016/j.jcp.2017.05.013

Title: A solution algorithm for fluid–particle flows across all flow regimes

Journal Article · Fri May 12 00:00:00 EDT 2017 · Journal of Computational Physics

DOI:https://doi.org/10.1016/j.jcp.2017.05.013· OSTI ID:1368053

^[1]; Fox, Rodney O. ^[2]

Ames Lab., Ames, IA (United States)
Ames Lab., Ames, IA (United States); Iowa State Univ., Ames, IA (United States)

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 free-transport flux solver dynamically and locally in the flow. In close-packed to moderately dense regions, a hydrodynamic solver is employed, while in dilute to very dilute regions a kinetic-based finite-volume solver is used in conjunction with quadrature-based 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 gravity-driven, gas–particle flows exhibiting cluster-induced 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.

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Research Organization:: Ames Lab., Ames, IA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-07CH11358

OSTI ID:: 1368053

Alternate ID(s):: OSTI ID: 1415331

Report Number(s):: IS-J 9348; PII: S0021999117303820

Journal Information:: Journal of Computational Physics, Vol. 344, Issue C; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 21 works

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