The effect of Reynolds number on inertial particle dynamics in isotropic turbulence. Part I: Simulations without gravitational effects

Abstract

In this study, we analyze the statistics of both individual inertial particles and inertial particle pairs in direct numerical simulations of homogeneous isotropic turbulence in the absence of gravity. The effect of the Taylor microscale Reynolds number $R_λ$ on the particle statistics is examined over the largest range to date (from $R_λ= 88-597$). We first explore the effect of preferential sampling on the single-particle statistics, and use our understanding of preferential sampling to provide a physical explanation for many of the trends in the particle velocity gradients, kinetic energies, and accelerations at low $St$. As $St$ increases, inertial filtering effects become more important, causing the particle kinetic energies and accelerations to decrease. We then consider particle-pair statistics, and focus our attention on the relative velocities and radial distribution functions (RDFs) of the particles. The relative velocity statistics indicate that preferential-sampling effects are important for $St \lesssim 0.1$ and that path-history/non-local effects become increasingly important for $St \gtrsim 0.2$. The lower-order relative velocity statistics are only weakly sensitive to changes in Reynolds number at low $St$. We find that the RDFs peak near $St$ of order unity, that they exhibit power-law scaling for low and intermediate $St$, and that they are largely independent of Reynolds number for low and intermediate $St$. We also observe that at large $St$, changes in the RDF are related to changes the scaling exponents of the relative velocity variances. The particle collision kernel is found to be largely insensitive to the flow Reynolds number, suggesting that relatively low-Reynolds-number simulations may be able to capture much of the relevant physics of droplet collisions and growth in the adiabatic cores of atmospheric clouds.