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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Taylor and Francis Ltd.
2014
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 08561caa a22008777a 4500 | ||
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| 001 | PAPER-14243 | ||
| 003 | AR-BaUEN | ||
| 005 | 20250806125145.0 | ||
| 008 | 190411s2014 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84898648072 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Obligado, Martín | |
| 245 | 1 | 0 | |a Preferential concentration of heavy particles in turbulence |
| 260 | |b Taylor and Francis Ltd. |c 2014 | ||
| 270 | 1 | 0 | |m Bourgoin, M.; Laboratoire des ́ Ecoulements Ǵeophysiques et Industriels, CNRS, Universit́e de Grenoble, Grenoble Cedex 09, France; email: mickael.bourgoin@legi.cnrs.fr |
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| 504 | |a Salazar, J.P.L.C., De Jong, J., Cao, L., Woodward, S.H., Meng, H., Collins, L.R., Experimental and numerical investigation of inertial particle clustering in isotropic turbulence (2008) Journal of Fluid Mechanics, 600, pp. 245-256. , DOI 10.1017/S0022112008000372, PII S0022112008000372 | ||
| 504 | |a Aliseda, A., Cartellier, A., Hainaux, F., Lasheras, J.C., Effect of preferential concentration on the settling velocity of heavy particles in homogeneous isotropic turbulence (2002) J. Fluid Mech., 468, pp. 77-105 | ||
| 504 | |a Goto, S., Vassilicos, J.C., Sweep-stick mechanism of heavy particle clustering in fluid turbulence (2008) Phys. Rev. Lett., 100, pp. 0545031-0545034 | ||
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| 504 | |a Coleman, S.W., Vassilicos, J.C., A unified sweep-stick mechanism to explain particle clustering in two-and three-dimensional homogeneous, isotropic turbulence (2009) Phys. Fluids, 21, pp. 1133011-11330110 | ||
| 504 | |a Poelma, C., Westerweel, J., Ooms, G., Particle-fluid interactions in grid-generated turbulence (2007) Journal of Fluid Mechanics, 589, pp. 315-351. , DOI 10.1017/S0022112007007793, PII S0022112007007793 | ||
| 504 | |a Aurenhammer, F., Voronoi diagrams-a survey of a fundamental geometric data structure (1991) ACM Comput. Surv., 23, pp. 345-405 | ||
| 504 | |a Makita, H., Realization of a large-scale turbulence field in a small wind tunnel (1991) Fluid Dyn. Res., 8, pp. 53-64 | ||
| 504 | |a Mydlarski, L., Warhaft, Z., On the onset of high-Reynolds-number grid-generated wind tunnel turbulence (1996) J. Fluid Mech., 320, pp. 331-368 | ||
| 504 | |a Poorte, R., Biesheuvel, A., Experiments on the motion of gas bubbles in turbulence generated by an active grid (2002) J. Fluid Mech., 461, pp. 127-154 | ||
| 504 | |a Obligado, M., Missaoui, M., Monchaux, R., Cartellier, A., Bourgoin, M., Reynolds number influence on preferential concentration of heavy particles in turbulent flows (2011) J. Phys.Conf. Ser., 318, pp. 0520151-0520158 | ||
| 504 | |a Monchaux, R., Bourgoin, M., Cartellier, A., Preferential concentration of heavy particles: A Voronoi analysis (2010) Phys. Fluids, 22, pp. 1033041-10330410 | ||
| 504 | |a Monchaux, R., Bourgoin, M., Cartellier, A., Analyzing preferential concentration and clustering of inertial particles in turbulence (2012) Int. J. Multiphase Flow, 40, pp. 1-18 | ||
| 504 | |a Tagawa, Y., Mercado, J.M., Prakash, V.N., Calzavarini, E., Sun, C., Lohse, D., Threedimensional Lagrangian Voronö? Analysis for clustering of particles and bubbles in turbulence (2012) J. Fluid Mech., 693, pp. 201-215 | ||
| 504 | |a Mininni, P.D., Rosenberg, D., Reddy, R., Pouquet, A., A hybrid MPIOpenMP scheme for scalable parallel pseudospectral computations for fluid turbulence (2011) Parallel Comput., 37, pp. 316-326 | ||
| 504 | |a Goto, S., Vassilicos, J.C., Self-similar clustering of inertial particles and zero-acceleration points in fully developed two-dimensional turbulence (2006) Phys. Fluids, 18, pp. 1151031-11510310 | ||
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| 506 | |2 openaire |e Política editorial | ||
| 520 | 3 | |a 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. |l eng | |
| 536 | |a Detalles de la financiación: Agence Nationale de la Recherche, ANR-12-BS09-011-03 | ||
| 536 | |a Detalles de la financiación: European Cooperation in Science and Technology, A08U02, MP0806 | ||
| 536 | |a Detalles de la financiación: This work was supported by the French Agence Nationale pour la Recherche (project ANR-12-BS09-011-03), the COST action on ‘Particles in turbulence’ (project MP0806) and the French-Argentinian ECOS-Sud program (project A08U02). | ||
| 593 | |a Turbulence, Mixing and Flow Control Group, Department of Aeronautics, Imperial College London, London, United Kingdom | ||
| 593 | |a Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Laboratoire des ́ Ecoulements Ǵeophysiques et Industriels, CNRS, Universit́e de Grenoble, Grenoble Cedex 09, France | ||
| 690 | 1 | 0 | |a TURBULENT MIXING |
| 690 | 1 | 0 | |a TURBULENT MULTI-PHASE FLOWS |
| 690 | 1 | 0 | |a REYNOLDS NUMBER |
| 690 | 1 | 0 | |a VELOCITY |
| 690 | 1 | 0 | |a CLUSTERING MECHANISM |
| 690 | 1 | 0 | |a CLUSTERING PROPERTIES |
| 690 | 1 | 0 | |a EXPERIMENTAL CONDITIONS |
| 690 | 1 | 0 | |a HOMOGENEOUS AND ISOTROPIC |
| 690 | 1 | 0 | |a HOMOGENEOUS ISOTROPIC TURBULENCE |
| 690 | 1 | 0 | |a PARTICLE LADEN FLOWS |
| 690 | 1 | 0 | |a PREFERENTIAL CONCENTRATION |
| 690 | 1 | 0 | |a TURBULENT MIXING |
| 690 | 1 | 0 | |a TURBULENCE |
| 690 | 1 | 0 | |a ACCELERATION |
| 690 | 1 | 0 | |a CLUSTER ANALYSIS |
| 690 | 1 | 0 | |a CONCENTRATION (COMPOSITION) |
| 690 | 1 | 0 | |a FLOW MODELING |
| 690 | 1 | 0 | |a REYNOLDS NUMBER |
| 690 | 1 | 0 | |a STOKES FORMULA |
| 690 | 1 | 0 | |a TURBULENCE |
| 690 | 1 | 0 | |a TURBULENT MIXING |
| 700 | 1 | |a Teitelbaum, T. | |
| 700 | 1 | |a Cartellier, A. | |
| 700 | 1 | |a Mininni, P. | |
| 700 | 1 | |a Bourgoin, M. | |
| 773 | 0 | |d Taylor and Francis Ltd., 2014 |g v. 15 |h pp. 293-310 |k n. 5 |p J. Turbul. |x 14685248 |t Journal of Turbulence | |
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| 856 | 4 | 0 | |u https://doi.org/10.1080/14685248.2014.897710 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_14685248_v15_n5_p293_Obligado |y Handle |
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