Euler–euler anisotropic gaussian mesoscale simulation of homogeneous cluster-induced gas–particle turbulence

Bo Kong*, Rodney O. Fox, Heng Feng, Jesse Capecelatro, Ravi Patel, Olivier Desjardins, Rodney O. Fox

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

An Euler–Euler anisotropic Gaussian approach (EE-AG) for simulating gas–particle flows, in which particle velocities are assumed to follow a multivariate anisotropic Gaussian distribution, is used to perform mesoscale simulations of homogeneous cluster-induced turbulence (CIT). A three-dimensional Gauss–Hermite quadrature formulation is used to calculate the kinetic flux for 10 velocity moments in a finite-volume framework. The particle-phase volume-fraction and momentum equations are coupled with the Eulerian solver for the gas phase. This approach is implemented in an open-source CFD package, OpenFOAM, and detailed simulation results are compared with previous Euler–Lagrange simulations in a domain size study of CIT. The results demonstrate that the proposed EE-AG methodology is able to produce comparable results to EL simulations, and this moment-based methodology can be used to perform accurate mesoscale simulations of dilute gas–particle flows.

Original languageEnglish
Pages (from-to)2630-2643
Number of pages14
JournalAICHE Journal
Volume63
Issue number7
DOIs
StatePublished - Jul 2017

Keywords

  • OpenFOAM
  • fluid–particle flow
  • kinetic theory of granular flow
  • kinetic-based finite-volume methods
  • quadrature-based moment methods

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