On divergence, curl, and helicity of the inertial particle velocity in a 4-way coupled channel flow

ORAL

Abstract

Inertial particle data from three-dimensional direct numerical simulations of dilute, four-way coupled particle-laden turbulent channel flow at Reτ ≈ 230 are analyzed. Delaunay tessellation is applied to the particle positions considering a range of mass loading (10\%-300\%) and particle inertia (St+ ≈ 1-60). Using finite-time measures, we then quantify the divergence and rotation of the particle velocity and determine likewise the particle flow helicity (Oujia et al. J. Fluid Mech., 2020; Oujia et al. TSFP-12, 2022). Statistical analyses of divergence, curl, and helicity are performed, along with their dependence on the wall distance, to assess the influence of the flow anisotropy. The probability distribution functions (PDFs) of the divergence and curl show that the particle inertia affects the tails of the PDFs, which implies extreme events. Joint PDFs of the divergence and the Delaunay volume further clarifies if the divergence is most prominent in the cluster regions or in the void regions. The PDFs of the inertial particle vorticity are compared to those of the fluid vorticity and they are found to deviate from a Laplace distribution. Finally, PDFs of the particle flow helicity show that swirling motion has the tendency to be suppressed for sufficiently large particle inertia. The relationship with sweep and ejection motion of the particles will be discussed.

*This research was performed at the 2022 Stanford CTR Summer Program. K. Matsuda, T. Oujia and K. Schneider thankfully acknowledge financial support and hospitality from CTR. T. Oujia and K. Schneider acknowledge partial funding from the Agence Nationale de la Recherche (ANR), grant ANR-20-CE46-0010-01. K. Matsuda acknowledges partial financial support from JSPS KAKENHI Grant Number JP20K04298.

Publication: T. Oujia, K. Matsuda and K. Schneider. Divergence and convergence of inertial particles in high Reynolds number turbulence. J. Fluid Mech., 905, A14, 2020.

Presenters

  • Kai Schneider

    • Institut de Mathématiques de Marseille, Aix-Marseille Université, CNRS, Marseille, France

Authors

  • Kai Schneider

    • Institut de Mathématiques de Marseille, Aix-Marseille Université, CNRS, Marseille, France
  • Thibault OUJIA

    • Institut de Mathématiques de Marseille, Aix-Marseille Université, CNRS, Marseille, France
  • Jacob R West

    • Department of Mechanical Engineering, Stanford University, CA, USA
    • Stanford University
  • Keigo Matsuda

    • Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan
  • Suhas S Jain

    • Center for Turbulence Research, Stanford University
    • Center for Turbulence Research
    • Center for Turbulence Research, Stanford University, CA, USA
  • Kazuki Maeda

    • Center for Turbulence Research, Stanford University
    • Center for Turbulence Research, Stanford University, CA, USA
    • Stanford University