Particle grouping in oscillating flows

Sergei Sazhin, Tal Shakked, Vladimir Sobolev, David Katoshevski

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

An equation describing the dynamics of spherical particles in an oscillating Stokesian flow in the frame of reference moving with the phase velocity of the wave, and only taking into account the contribution of the drag force, is simplified in two limiting cases. Firstly, the case when Stokes numbers are small is considered. Secondly, the analysis focuses on the case when the initial location of the particles is close to the location where the particles are grouped (their velocities and accelerations in the wave frame of reference are equal to zero), xlim. This is followed by an analysis of the dynamics of non-Stokesian particles. In all cases, the analytical results are validated against the results of numerical solution of the equation of particle motion. Three types of trajectories are predicted when particles approach xlim: the trajectories describing the monotonic approach to xlim, the trajectories describing the approach to xlim with oscillations and trajectories repelled from xlim. These are identified with stable nodes, stable foci and saddles. The trajectories in the zone between stable nodes and foci are identified as stable stars. Using Dulac's criterion, it is pointed out that none of the particle trajectories in the position-velocity plane can be closed. This result is illustrated by the trajectories calculated using the numerical solution of the equation for particle dynamics for various parameter values.

Original languageEnglish
Pages (from-to)131-149
Number of pages19
JournalEuropean Journal of Mechanics, B/Fluids
Volume27
Issue number2
DOIs
StatePublished - 1 Mar 2008

Keywords

  • Clustering
  • Spray
  • Stokesian flow

ASJC Scopus subject areas

  • Mathematical Physics
  • Physics and Astronomy (all)

Fingerprint

Dive into the research topics of 'Particle grouping in oscillating flows'. Together they form a unique fingerprint.

Cite this