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Mass entrainment-based model for separating flows

Type
Articles dans des revues avec comité de lecture
Auteur
STELLA, F.
536335 Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique [PRISME]
MAZELLIER, N.
536335 Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique [PRISME]
JOSEPH, Pierric
531216 Laboratoire de Mécanique des Fluides de Lille – Kampé de Fériet - UMR 9014 [LMFL]
536335 Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique [PRISME]
KOURTA, A.
536335 Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique [PRISME]

URI
http://hdl.handle.net/10985/15235
DOI
10.1103/physrevfluids.3.114702
Date
2018
Journal
Physical Review Fluids

Résumé

Recent studies have shown that entrainment effectively describes the behavior of natural and forced separating flows developing behind bluff bodies, potentially paving the way to new, scalable separation control strategies. In this perspective, we propose a new interpretative framework for separated flows, based on mass entrainment. The cornerstone of the approach is an original model of the mean flow, representing it as a stationary vortex scaling with the mean recirculation length. We test our model on a set of mean separated topologies, obtained by forcing the flow over a descending ramp with a rack of synthetic jets. Our results show that both the circulation of the vortex and its characteristic size scale simply with the intensity of the backflow (the amount of mass going through the recirculation region). This suggests that the vortex model captures the essential functioning of mean mass entrainment, and that it could be used to model and/or predict the mean properties of separated flows. In addition, we use the vortex model to show that the backflow (an integral quantity) can be estimated from a single wall-pressure measurement (a pointwise quantity). This finding encourages further efforts toward industrially deployable control systems based on mass entrainment.

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