Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session A09: Computational Fluid Dynamics Methods for Multiphase Flows I
8:00 AM–9:57 AM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B214
Chair: Sivaramakrishnan Balachandar, University of Florida
Abstract ID: BAPS.2018.DFD.A09.6
Abstract: A09.00006 : A novel Euler-Lagrange method that incorporates fully resolved physics using pairwise interaction extended point-particle (PIEP) model.*
9:05 AM–9:18 AM
Presenter:
S. Balachandar
(University of Florida)
Authors:
S. Balachandar
(University of Florida)
W. C. Moore
(University of Florida)
Georges Akiki
(Los Alamos National Laboratory)
Kai Liu
(University of Florida)
In the traditional Euler-Lagrange (EL) method the point-particle (PP) force models are based on flow Reynolds number and local particle volume fraction as seen by the particle. The presence of neighboring particles is only taken into account on average through the local particle volume fraction. Here we start with the complete N-particle problem and employ pairwise-interaction and order-invariance assumptions to rigorously simplify the problem and develop a new framework of pairwise interaction extended point-particle (PIEP) approach for coupling the particulate and fluid phases. The key ingredient in this approach is axisymmetric maps of perturbation effects of a neighbor, which can be thought of as richer drag/lift laws. We will discuss how machine learning can be used, guided by physical understanding, to develop these maps from the DNS data of flow over a random array of particles.
*Supported by the U.S. Department of Energy, under Contract No. DE-NA0002378, and by the Office of Naval Research (ONR) as part of the MURI Program, under grant number N00014-16-1-2617.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.A09.6
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