2019
DOI: 10.1063/1.5093391
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Near-wall dynamics of inertial particles in dilute turbulent channel flows

Abstract: This is a repository copy of Near-wall dynamics of inertial particles in dilute turbulent channel flows.

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Cited by 33 publications
(40 citation statements)
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“…The Newtonian acceleration and velocity differential equations are derived by considering the force-balance between the particle's inertia and the fluid (Maxey, 1987;Riley and Patterson Jr, 1974). Within this study, we consider a calcite-water system wherein the density ratio is low ( = 2.71) and, as such, contributions from forces other than drag are likely to be relevant, as observed previously (Homann and Bec, 2010;Mortimer et al, 2019). For this reason, we have chosen to consider contributions from all hydrodynamic forces (drag, lift, virtual mass and pressure gradient).…”
Section: B Lagrangian Particle Trackingmentioning
confidence: 99%
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“…The Newtonian acceleration and velocity differential equations are derived by considering the force-balance between the particle's inertia and the fluid (Maxey, 1987;Riley and Patterson Jr, 1974). Within this study, we consider a calcite-water system wherein the density ratio is low ( = 2.71) and, as such, contributions from forces other than drag are likely to be relevant, as observed previously (Homann and Bec, 2010;Mortimer et al, 2019). For this reason, we have chosen to consider contributions from all hydrodynamic forces (drag, lift, virtual mass and pressure gradient).…”
Section: B Lagrangian Particle Trackingmentioning
confidence: 99%
“…For this reason, we have chosen to consider contributions from all hydrodynamic forces (drag, lift, virtual mass and pressure gradient). The relevance of all these forces based upon channel wall-distance can be found in Mortimer et al (2019). The Basset history force has been neglected due to long computation times and previous evidence demonstrating little effect on the resulting particle motion (Fairweather and Hurn, 2008;Daitche, 2015).…”
Section: B Lagrangian Particle Trackingmentioning
confidence: 99%
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