Lagrangian investigation of pseudo-turbulence in multiphase flow using superposable wakes
Journal Article
·
· Physical Review Fluids
- Univ. of Florida, Gainesville, FL (United States); OSTI
- Univ. of Florida, Gainesville, FL (United States)
This study proposes a method for approximating the fully resolved flow through a monodisperse array of spherical particles using only the locations of the particles and the volume-averaged Reynolds number, both of which are available in Euler-Lagrange (EL) simulations. To achieve this, we first determine a superposable wake (SW) which best captures the behavior of direct numerical simulations (DNS). By adding the SW for all the particles, the pseudo-turbulence caused by the perturbed flow around a distribution of particles in an EL simulation can be approximated. Finally, a Reynolds stress model is then developed for use in an Euler-Lagrange framework. The range of Reynolds numbers and particle volume fractions considered in this study are 0.3 ≤ Re ≤ 173 and 0.11 ≤ Φ ≤ 0.45 accordingly.
- Research Organization:
- Univ. of Florida, Gainesville, FL (United States)
- Sponsoring Organization:
- National Science Foundation (NSF); US Department of the Navy, Office of Naval Research (ONR); USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- NA0002378
- OSTI ID:
- 1801101
- Journal Information:
- Physical Review Fluids, Journal Name: Physical Review Fluids Journal Issue: 11 Vol. 4; ISSN 2469-990X
- Publisher:
- American Physical Society (APS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Toward particle-resolved accuracy in Euler–Lagrange simulations of multiphase flow using machine learning and pairwise interaction extended point-particle (PIEP) approximation
Lagrangian and Eulerian drag models that are consistent between Euler-Lagrange and Euler-Euler (two-fluid) approaches for homogeneous systems
Rotational and reflectional equivariant convolutional neural network for data-limited applications: Multiphase flow demonstration
Journal Article
·
Mon Jun 29 20:00:00 EDT 2020
· Theoretical and Computational Fluid Dynamics
·
OSTI ID:1801095
Lagrangian and Eulerian drag models that are consistent between Euler-Lagrange and Euler-Euler (two-fluid) approaches for homogeneous systems
Journal Article
·
Sun Aug 09 20:00:00 EDT 2020
· Physical Review Fluids
·
OSTI ID:1801102
Rotational and reflectional equivariant convolutional neural network for data-limited applications: Multiphase flow demonstration
Journal Article
·
Thu Oct 21 20:00:00 EDT 2021
· Physics of Fluids
·
OSTI ID:1978961