Preferential concentration of inertial sub-kolmogorov particles. The roles of mass loading of particles, Stokes and Reynolds numbers
Sholpan Sumbekova, Alain Cartellier, Alberto Aliseda, Mickael Bourgoin

TL;DR
This study experimentally investigates how inertial particles cluster in turbulent flows, revealing that Reynolds number and volume fraction significantly influence clustering, while Stokes number has less effect, supporting the sweep-stick model.
Contribution
It provides new experimental data on particle clustering in turbulence, highlighting the roles of Reynolds number, volume fraction, and particle size distribution, and discusses their scaling behaviors.
Findings
Clustering is strongly enhanced by Reynolds number.
Cluster and void sizes scale primarily with Reynolds number.
Stokes number has minimal impact on clustering characteristics.
Abstract
Turbulent flows laden with inertial particles present multiple open questions and are a subject of great interest in current research. Due to their higher density compared to the carrier fluid, inertial particles tend to form high concentration regions, i.e. clusters, and low concentration regions, i.e. voids, due to the interaction with the turbulence. In this work, we present an experimental investigation of the clustering phenomenon of heavy sub-Kolmogorov particles in homogeneous isotropic turbulent flows. Three control parameters have been varied over significant ranges: , and volume fraction . The scaling of clustering characteristics, such as the distribution of Vorono\"i areas and the dimensions of cluster and void regions, with the three parameters are discussed. In particular, for…
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