The mean transport of inertial particles in viscous streaming flows
Mathieu Le Provost, Jeff D. Eldredge

TL;DR
This paper develops simplified equations for the mean transport of inertial particles in viscous streaming flows, enabling more efficient and accurate numerical predictions by addressing numerical stiffness issues in previous models.
Contribution
The authors derive new equations for mean particle transport in oscillatory viscous flows using multiple advanced techniques, improving computational efficiency and physical insight.
Findings
New equations enable larger time steps in simulations.
The hierarchy of influences on particle transport is clarified.
Equations successfully applied to flows around oscillating cylinders.
Abstract
Viscous streaming has emerged as an effective method to transport, trap, and cluster inertial particles in a fluid. Previous work has shown that this transport is well described by the Maxey-Riley equation augmented with a term representing Saffman lift. However, in its straightforward application to viscous streaming flows, the equation suffers from severe numerical stiffness due to the wide disparity between the time scales of viscous response, oscillation period, and slow mean transport, posing a severe challenge for drawing physical insight on mean particle trajectories. In this work, we develop equations that directly govern the mean transport of particles in oscillatory viscous flows. The derivation of these equations relies on a combination of three key techniques. In the first, we develop an inertial particle velocity field via a small Stokes number expansion of the particle's…
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