A priori filtering and LES modeling of turbulent two-phase flows Application to phase separation

Stéphane Vincent (1) , Mathilde Tavares (1) , Solene Fleau (2, 1) , Stephane Mimouni (2) , Meryem Ould-Rouiss (1) , Jean-Luc Estivalezes (3, 4)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 EDF R&D - EDF R&D
3 IMFT - Institut de mécanique des fluides de Toulouse
4 ONERA - The French Aerospace Lab [Toulouse]

The Large Eddy Simulation (LES) of two-phase flows with resolved scale interfaces is investigated through the a priori filtering of Direct Numerical Simulations (DNS) of one-fluid and multifield models. A phase inversion benchmark [1-4] is considered highlighting many coalescence and interface rupture events in a kind of atomization process. The order of magnitude of specific two-phase subgrid LES terms is first considered with the two modeling approaches. Then, different existing models such as Smagorinsky [5], Wall-Adapting Local Eddy-viscosity (WALE) model [6], Bardina [7], Mixed [8] and Approximate Deconvolution Model (ADM) [9] are used to account for two-phase subgrid effects. These models are compared to filtered DNS results. The main conclusion concerning a priori LES filtering is that the inertia term is not predominant in two-phase flows with fragmentation and rupture of interface. This conclusion is different from that of the studies of [3, 10-13]. concerning LES models, functional modeling do 1 not correlate to filtered DNS results whereas structural approaches do. Bardina and ADM are clearly the good LES framework to consider for two-phase flows with resolved scale interfaces. ADM is clearly better than Bardina in our study.

Mots clés: one-fluid model; LES modeling; phase inversion; two-phase flows; a priori filtering; multi-field approach

Domaines: Mécanique des fluides [physics.class-ph]

Stéphane Vincent, Mathilde Tavares, Solene Fleau, Stephane Mimouni, Meryem Ould-Rouiss, et al.. A priori filtering and LES modeling of turbulent two-phase flows Application to phase separation. 2016. ⟨hal-01420300⟩