Title: Verification of Eulerian-Eulerian and Eulerian-Lagrangian simulations for turbulent fluid-particle flows

Abstract

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. © 2017 American Institute of Chemical Engineers AIChE J , 63: 5396–5412, 2017

Authors:

Patel, Ravi G. ^[1]; Desjardins, Olivier ^[1]; Kong, Bo  ^[2];

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Capecelatro, Jesse ^[3]; Fox, Rodney O. ^[4]

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+ Show Author Affiliations

1. Cornell Univ., Ithaca, NY (United States)
2. Ames Lab., Ames, IA (United States)
3. Univ. of Michigan, Ann Arbor, MI (United States)
4. Ames Lab. and Iowa State Univ., Ames, IA (United States)

Publication Date:

Fri Sep 01 00:00:00 EDT 2017

Research Org.:

Ames Laboratory (AMES), Ames, IA (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1409363

Alternate Identifier(s):

OSTI ID: 1392168

Report Number(s):

IS-J-9490
Journal ID: ISSN 0001-1541

Grant/Contract Number:  

AC02-07CH11358

Resource Type:

Accepted Manuscript

Journal Name:

AIChE Journal

Additional Journal Information:

Journal Volume: 63; Journal Issue: 12; Journal ID: ISSN 0001-1541

Publisher:

American Institute of Chemical Engineers

Country of Publication:

United States

Language:

English

Subject:

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; computational fluid dynamics (CFD); fluid-particle flow; kinetic theory of granular flow; Euler-Lagrange method; quadrature-based moment methods