Three-dimensional Lagrangian Voronoi analysis for clustering of particles and bubbles in turbulence
Yoshiyuki Tagawa, Julian Martinez Mercado, Vivek N. Prakash, Enrico, Calzavarini, Chao Sun, Detlef Lohse

TL;DR
This paper uses 3D Voronoi analysis to quantify how inertial particles and bubbles cluster in turbulence, revealing that light particles tend to cluster in high-vorticity regions and maintain their clustering longer than heavy particles.
Contribution
It introduces a 3D Voronoi-based method to analyze particle clustering in turbulence, highlighting the behavior of light particles and their correlation with flow vorticity.
Findings
Light particles cluster most at Stokes numbers 1-2.
Clustering of light particles persists longer than that of heavy particles.
Light particles tend to cluster in high enstrophy regions.
Abstract
Three-dimensional Voronoi analysis is used to quantify the clustering of inertial particles in homogeneous isotropic turbulence using data from numerics and experiments. We study the clustering behavior at different density ratios and particle response times (i.e. Stokes numbers St). The Probability Density Functions (PDFs) of the Voronoi cell volumes of light and heavy particles show a different behavior from that of randomly distributed particles -i.e. fluid tracers-implying that clustering is present. The standard deviation of the PDF normalized by that of randomly distributed particles is used to quantify the clustering. Light particles show maximum clustering for St around 1-2. The results are consistent with previous investigations employing other approaches to quantify the clustering. We also present the joint PDFs of enstrophy and Voronoi volumes and their Lagrangian…
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