Evaluation using an LES Database of Constitutive Relations for Fluid-Particle Velocity Corr.pdf
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Evaluation using an LES Database of Constitutive Relations for Fluid-Particle Velocity Corr
5th International Conference on Multiphase Flow, ICMF’04
Yokohama, Japan, May 30-June 4, 2004
Paper No.452
Evaluation using an LES Database of Constitutive Relations for Fluid-Particle
Velocity Correlations in Fully-Developed Gas-Particle Channel Flows
Kulwinder Singh1, Kyle D. Squires1 and Olivier Simonin2
1: Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, Arizona 85287, USA,
kulwinder.singh@asu.edu, squires@asu.edu
2: Institut de Me?canique des Fluides; UMR 5502 CNRS/INPT/UPS Alle?e du Professeur Camille Soula, 31400 Toulouse,
France, simonin@imft.fr
Abstract Models of the fluid-particle velocity correlation are evaluated in fully-developed particle-laden
turbulent channel flow. The database for the model evaluations is generated using Large-Eddy Simulation
(LES) of the carrier phase flow combined with Discrete Particle Simulation (DPS) for the dispersed phase. The
current focus is on gas-solid flows for which the particle equation of motion includes the contribution from the
drag force and the influence of particle momentum exchange on properties of the carrier phase is neglected.
Three particle Stokes numbers are considered that provide a wide range in the particle response to the turbulent
fluid motions. For each Stokes number, simulations are performed with and then without the influence of
inter-particle collisions. Binary particle-particle collisions are considered that are assumed perfectly elastic.
Models for the fluid-particle correlation are developed from the Lagrangian stochastic equations of Simonin et
al. (1993) and Minier and Peirano (2001). The model evaluations are performed using an in medio approach
in which some terms are supplied from the LES/DPS database with closures applied for the remaining terms.
A coupled system of equations is then solved for the fluid-particle correlation tensor. The in medio evaluations
show that the fluid-particle correlations predicted using the approach proposed by Simonin et al
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