Chaos, randomization, and turbulence in particle-laden flows

TL;DR

This paper investigates how particle-flow interactions induce chaos and turbulence in particle-laden flows, demonstrating that increased particle parameters enhance flow randomization and highlighting the role of symmetry breaking in this process.

Contribution

It introduces a quantitative analysis of chaos in particle-laden flows using numerical and experimental data, emphasizing the impact of particle parameters and symmetry breaking.

Findings

Higher particle volume fraction increases flow randomization.

Stokes number influences the degree of chaos in the flow.

Symmetry breaking plays a key role in flow randomization.

Abstract

The randomization effect of the two-way (particle-flow) interaction has been studied and quantified using the notion of distributed chaos and the results of numerical simulations and laboratory measurements. It is shown, in particular, that an increase of such parameters as the particle volume fraction, particle mass loading, and Stokes number results generally in stronger randomization of the particle-laden flows. An important role of spontaneous breaking of the local reflectional symmetry in the randomization of the particle-laden flows has been also analyzed using relevant dynamical invariants.