Study and derivation of closures in the volume-filtered framework for particle-laden flows
arXiv:2402.05842 · doi:10.1017/jfm.2024.573
Abstract
The volume-filtering of the Navier-Stokes equations allows to consider the effect that particles have on the fluid without further assumptions, but closures arise of which the implications are not fully understood. In the present paper, we carefully study every closure in the volume-filtered fluid momentum equation and investigate their impact on the momentum and energy transfer dependent on the filtering characteristics. We provide an analytical expression for the viscous closure that arises because filter and spatial derivative in the viscous term do not commute. An analytical expression for the regularization of the particle momentum source of a single sphere in the Stokes regime is derived. Furthermore, we propose a model for the subfilter stress tensor, which originates from filtering the advective term. The model for the subfilter stress tensor is shown to agree well with the subfilter stress tensor for small filter widths relative to the size of the particle. We show that the subfilter stress tensor requires modeling and should not be neglected. For small filter widths, we find that the commonly applied Gaussian regularization of the particle momentum source is a poor approximation of the spatial distribution of the particle momentum source, but for larger filter widths the spatial distribution approaches a Gaussian. Furthermore, we propose a modified advective term in the volume-filtered momentum equation that consistently circumvents the common stability issues observed at locally small fluid volume fractions and identify inconsistencies in previous studies of the phase-averaged kinetic energy of the volume-filtered fluid velocity. Finally, we propose a generally applicable form of the volume-filtered momentum equation and its closures based on clear and well-founded assumptions and propose guidelines for point-particle simulations based on the new findings.
References in corpus (9)
- Conservative finite-volume framework and pressure-based algorithm for flows of incompressible, ideal-gas and real-gas fluids at all speeds
- Towards Particle-Resolved Accuracy in Euler-Lagrange Simulations of Multiphase Flow Using Machine Learning and Pairwise Interaction Extended Point-particle (PIEP) Approximation
- Drag, lift and torque correlations for axi-symmetric non-spherical particles in locally non-uniform flows
- Quantifying the errors of the particle-source-in-cell Euler-Lagrange method
- A hybrid immersed boundary method for dense particle-laden flows
- Microstructure-based prediction of hydrodynamic forces in stationary particle assemblies
- A large eddy simulation model for two-way coupled particle-laden turbulent flows
- Effect of interpolation kernels and grid refinement on two way-coupled point-particle simulations
- The volume-filtering immersed boundary method
Cited by in corpus (4)
- Physically consistent immersed boundary method: a framework for predicting hydrodynamic forces on particles with coarse meshes
- A new paradigm for computing hydrodynamic forces on particles in Euler-Lagrange point-particle simulations
- Undisturbed velocity recovery with transient and weak inertia effects in volume-filtered simulations of particle-laden flows
- A new paradigm for wall-modeled large eddy simulations using the volume-filtering framework