Particle separation by Stokes number for small neutrally buoyant spheres in a fluid

TL;DR

This paper introduces a method using finite time Lyapunov exponents to analyze how small neutrally buoyant particles with inertia behave differently from ideal tracers in a fluid, and demonstrates particle segregation based on Stokes number in a 2D flow.

Contribution

It presents a novel sensitivity-based partition framework to distinguish particles by Stokes number in fluid flows, advancing particle separation techniques.

Findings

Sensitivity field computed for particles at each point in velocity space.

Partitioning of velocity space depends on Stokes number.

Framework successfully segregates particles by Stokes number in a 2D flow.

Abstract

It is a commonly observed phenomenon that spherical particles with inertia in an incompressible fluid do not behave as ideal tracers. Due to the inertia of the particle, the dynamics are described in a four dimensional phase space and thus can differ considerably from the ideal tracer dynamics. Using finite time Lyapunov exponents we compute the sensitivity of the final position of a particle with respect to its initial velocity, relative to the fluid and thus partition the relative velocity subspace at each point in configuration space. The computations are done at every point in the relative velocity subspace, thus giving a sensitivity field. The Stokes number being a measure of the independence of the particle from the underlying fluid flow, acts as a parameter in determining the variation in these partitions. We demonstrate how this partition framework can be used to segregate particles by Stokes number in a fluid. The fluid model used for demonstration is a two dimensional cellular flow.