Verification of Eulerian–Eulerian and Eulerian–Lagrangian simulations for turbulent fluid–particle flows

TY - JOUR

T1 - Verification of Eulerian–Eulerian and Eulerian–Lagrangian simulations for turbulent fluid–particle flows

AU - Patel, Ravi G.

AU - Desjardins, Olivier

AU - Kong, Bo

AU - Capecelatro, Jesse

AU - Fox, Rodney O.

N1 - Publisher Copyright: © 2017 American Institute of Chemical Engineers

PY - 2017/12

Y1 - 2017/12

N2 - We present a verification study of three simulation techniques for fluid–particle flows, including an Euler–Lagrange approach (EL) inspired by Jackson's seminal work on fluidized particles, a quadrature–based moment method based on the anisotropic Gaussian closure (AG), and the traditional two-fluid model. We perform simulations of two problems: particles in frozen homogeneous isotropic turbulence (HIT) and cluster-induced turbulence (CIT). For verification, we evaluate various techniques for extracting statistics from EL and study the convergence properties of the three methods under grid refinement. The convergence is found to depend on the simulation method and on the problem, with CIT simulations posing fewer difficulties than HIT. Specifically, EL converges under refinement for both HIT and CIT, but statistics exhibit dependence on the postprocessing parameters. For CIT, AG produces similar results to EL. For HIT, converging both TFM and AG poses challenges. Overall, extracting converged, parameter-independent Eulerian statistics remains a challenge for all methods.

AB - We present a verification study of three simulation techniques for fluid–particle flows, including an Euler–Lagrange approach (EL) inspired by Jackson's seminal work on fluidized particles, a quadrature–based moment method based on the anisotropic Gaussian closure (AG), and the traditional two-fluid model. We perform simulations of two problems: particles in frozen homogeneous isotropic turbulence (HIT) and cluster-induced turbulence (CIT). For verification, we evaluate various techniques for extracting statistics from EL and study the convergence properties of the three methods under grid refinement. The convergence is found to depend on the simulation method and on the problem, with CIT simulations posing fewer difficulties than HIT. Specifically, EL converges under refinement for both HIT and CIT, but statistics exhibit dependence on the postprocessing parameters. For CIT, AG produces similar results to EL. For HIT, converging both TFM and AG poses challenges. Overall, extracting converged, parameter-independent Eulerian statistics remains a challenge for all methods.

KW - Euler-Lagrange method

KW - computational fluid dynamics (CFD)

KW - fluid-particle flow

KW - kinetic theory of granular flow

KW - quadrature-based moment methods

UR - http://www.scopus.com/inward/record.url?scp=85030156459&partnerID=8YFLogxK

U2 - 10.1002/aic.15949

DO - 10.1002/aic.15949

M3 - 文章

AN - SCOPUS:85030156459

SN - 0001-1541

VL - 63

SP - 5396

EP - 5412

JO - AICHE Journal

JF - AICHE Journal

IS - 12

ER -