Preferential concentration of heavy particles in turbulence

Particle-laden flows are of relevant interest in many industrial and natural systems. When the carrier flow is turbulent, a striking feature is the phenomenon called preferential concentration: particles denser than the fluid have the tendency to inhomogeneously distribute in space, forming clusters...

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Autores principales: Obligado, M., Teitelbaum, T., Cartellier, A., Mininni, P., Bourgoin, M.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14685248_v15_n5_p293_Obligado
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spelling todo:paper_14685248_v15_n5_p293_Obligado2023-10-03T16:17:28Z Preferential concentration of heavy particles in turbulence Obligado, M. Teitelbaum, T. Cartellier, A. Mininni, P. Bourgoin, M. turbulent mixing turbulent multi-phase flows Reynolds number Velocity Clustering mechanism Clustering properties Experimental conditions Homogeneous and isotropic Homogeneous isotropic turbulence Particle laden flows Preferential concentration Turbulent mixing Turbulence acceleration cluster analysis concentration (composition) flow modeling Reynolds number Stokes formula turbulence turbulent mixing Particle-laden flows are of relevant interest in many industrial and natural systems. When the carrier flow is turbulent, a striking feature is the phenomenon called preferential concentration: particles denser than the fluid have the tendency to inhomogeneously distribute in space, forming clusters and depleted regions. We present an investigation of clustering of small water droplets in homogeneous and isotropic active-grid-generated turbulence. We investigate the effect of Reynolds number (R&lamda;) and Stokes number (St) on particles clustering in the range R&lamda; ∼ 200-400 and St ∼ 2-10. Using Voronoï diagrams, we characterise clustering level and cluster properties (geometry, typical dimension and fractality). The exact same Voronoï analysis is then applied to investigate clustering properties of specific topological points of the velocity field of homogeneous isotropic turbulence obtained from direct numerical simulations at R ∼ 220 and 300. The goal is to compare clustering properties of actual particles with those of such points in order to explore the relevance of possible clustering mechanisms, including centrifugal effects (heavy particles sampling preferentially low-vorticity regions) and sweep-stick mechanisms (heavy particles preferentially sticking to low-acceleration points). Our study points towards a leading role of zero-acceleration points and sweep-stick effects, at least for the experimental conditions considered in this study. © 2014 Taylor and Francis. Fil:Teitelbaum, T. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mininni, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14685248_v15_n5_p293_Obligado
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic turbulent mixing
turbulent multi-phase flows
Reynolds number
Velocity
Clustering mechanism
Clustering properties
Experimental conditions
Homogeneous and isotropic
Homogeneous isotropic turbulence
Particle laden flows
Preferential concentration
Turbulent mixing
Turbulence
acceleration
cluster analysis
concentration (composition)
flow modeling
Reynolds number
Stokes formula
turbulence
turbulent mixing
spellingShingle turbulent mixing
turbulent multi-phase flows
Reynolds number
Velocity
Clustering mechanism
Clustering properties
Experimental conditions
Homogeneous and isotropic
Homogeneous isotropic turbulence
Particle laden flows
Preferential concentration
Turbulent mixing
Turbulence
acceleration
cluster analysis
concentration (composition)
flow modeling
Reynolds number
Stokes formula
turbulence
turbulent mixing
Obligado, M.
Teitelbaum, T.
Cartellier, A.
Mininni, P.
Bourgoin, M.
Preferential concentration of heavy particles in turbulence
topic_facet turbulent mixing
turbulent multi-phase flows
Reynolds number
Velocity
Clustering mechanism
Clustering properties
Experimental conditions
Homogeneous and isotropic
Homogeneous isotropic turbulence
Particle laden flows
Preferential concentration
Turbulent mixing
Turbulence
acceleration
cluster analysis
concentration (composition)
flow modeling
Reynolds number
Stokes formula
turbulence
turbulent mixing
description Particle-laden flows are of relevant interest in many industrial and natural systems. When the carrier flow is turbulent, a striking feature is the phenomenon called preferential concentration: particles denser than the fluid have the tendency to inhomogeneously distribute in space, forming clusters and depleted regions. We present an investigation of clustering of small water droplets in homogeneous and isotropic active-grid-generated turbulence. We investigate the effect of Reynolds number (R&lamda;) and Stokes number (St) on particles clustering in the range R&lamda; ∼ 200-400 and St ∼ 2-10. Using Voronoï diagrams, we characterise clustering level and cluster properties (geometry, typical dimension and fractality). The exact same Voronoï analysis is then applied to investigate clustering properties of specific topological points of the velocity field of homogeneous isotropic turbulence obtained from direct numerical simulations at R ∼ 220 and 300. The goal is to compare clustering properties of actual particles with those of such points in order to explore the relevance of possible clustering mechanisms, including centrifugal effects (heavy particles sampling preferentially low-vorticity regions) and sweep-stick mechanisms (heavy particles preferentially sticking to low-acceleration points). Our study points towards a leading role of zero-acceleration points and sweep-stick effects, at least for the experimental conditions considered in this study. © 2014 Taylor and Francis.
format JOUR
author Obligado, M.
Teitelbaum, T.
Cartellier, A.
Mininni, P.
Bourgoin, M.
author_facet Obligado, M.
Teitelbaum, T.
Cartellier, A.
Mininni, P.
Bourgoin, M.
author_sort Obligado, M.
title Preferential concentration of heavy particles in turbulence
title_short Preferential concentration of heavy particles in turbulence
title_full Preferential concentration of heavy particles in turbulence
title_fullStr Preferential concentration of heavy particles in turbulence
title_full_unstemmed Preferential concentration of heavy particles in turbulence
title_sort preferential concentration of heavy particles in turbulence
url http://hdl.handle.net/20.500.12110/paper_14685248_v15_n5_p293_Obligado
work_keys_str_mv AT obligadom preferentialconcentrationofheavyparticlesinturbulence
AT teitelbaumt preferentialconcentrationofheavyparticlesinturbulence
AT cartelliera preferentialconcentrationofheavyparticlesinturbulence
AT mininnip preferentialconcentrationofheavyparticlesinturbulence
AT bourgoinm preferentialconcentrationofheavyparticlesinturbulence
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