Particle Resuspension in Turbulent Boundary Layers and the Influence of Non-Gaussian Removal Forces

TL;DR

This paper enhances a stochastic model of particle resuspension in turbulent boundary layers by incorporating non-Gaussian force distributions derived from DNS data, improving predictions of resuspension rates.

Contribution

The work introduces an improved resuspension model that accounts for non-Gaussian forces using DNS data, advancing understanding of particle detachment in turbulent flows.

Findings

Non-Gaussian forces significantly influence resuspension rates.

Model predictions align well with experimental data.

Resuspension depends on force distribution and particle-surface interaction.

Abstract

The work described is concerned with the way micron-size particles attached to a surface are resuspended when exposed to a turbulent flow. An improved version of the Rock'n'Roll model (Reeks and Hall, 2001) is developed where this model employs a stochastic approach to resuspension involving the rocking and rolling of a particle about surface asperities arising from the moments of the fluctuating drag forces acting on the particle close to the surface. In this work, the model is improved by using values of both the streamwise fluid velocity andacceleration close to the wall obtained from Direct Numerical Simulation (DNS) of turbulentchannel flow. Using analysis and numerical calculations of the drag force on a sphere near a wall in shear flow (O'Neill (1968) and Lee and Balachandar (2010)) these values are used to obtain the joint distribution of the moments of the fluctuating drag force and its time derivative acting on a particle attached to a surface. In so doing the influence of highly non-Gaussian forces (associated with the sweeping and ejection events in a turbulent boundary layer) on short and long term resuspension rates is examined for a sparse monolayer coverage of particles, along with the dependence of the resuspension upon the timescale of the particle motion attached to the surface, the ratio of the rms/ mean of the removal force and the distribution of adhesive forces. Model predictions of the fraction resuspended are compared with experimental results.