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IUTAM Symposium on Computational Approaches to Multiphase FlowStochastic Diffusion of Finite Inertia Particles in Non-Homogeneous Turbulence

IUTAM Symposium on Computational Approaches to Multiphase Flow: Stochastic Diffusion of Finite... [Several Continuous Random Walk (CRW) models were constructed to predict turbulent particle diffusion based only on mean Eulerian fluid statistics. The particles were injected near the wall (y+=4) of a turbulent boundary layer that is strongly anisotropic and inhomogeneous near the wall. To assess the performance of the models for wide range of particle inertias (Stroke numbers), the CRW results were compared to particle diffusion statistics gathered from a Direct Numerical Simulation (DNS). The results showed that accurate simulation required a modified (non-dimensionalized) Markov chain for the large gradients in turbulence based on fluid-tracer simulations. For finite-inertia particles, a modified drift correction for the Markov chain (developed herein to account for Strokes number effects) was critical to avoiding non-physical particle collection in low-turbulence regions. In both cases, inclusion of anisotropy in the turbulent kinetic energy was found to be important, but the influence of off-diagonal terms was found to be weak.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

IUTAM Symposium on Computational Approaches to Multiphase FlowStochastic Diffusion of Finite Inertia Particles in Non-Homogeneous Turbulence

Part of the Fluid Mechanics and Its Applications Book Series (volume 81)
Editors: Balachandar, S.; Prosperetti, A.
Loth, Eric; Bocksell, Todd L.
IUTAM Symposium on Computational Approaches to Multiphase Flow — Jan 1, 2006
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Publisher
Springer Netherlands
Copyright
© Springer 2006
ISBN
978-1-4020-4976-7
Pages
63 –74
DOI
10.1007/1-4020-4977-3_8
Publisher site
See Chapter on Publisher Site

Abstract

[Several Continuous Random Walk (CRW) models were constructed to predict turbulent particle diffusion based only on mean Eulerian fluid statistics. The particles were injected near the wall (y+=4) of a turbulent boundary layer that is strongly anisotropic and inhomogeneous near the wall. To assess the performance of the models for wide range of particle inertias (Stroke numbers), the CRW results were compared to particle diffusion statistics gathered from a Direct Numerical Simulation (DNS). The results showed that accurate simulation required a modified (non-dimensionalized) Markov chain for the large gradients in turbulence based on fluid-tracer simulations. For finite-inertia particles, a modified drift correction for the Markov chain (developed herein to account for Strokes number effects) was critical to avoiding non-physical particle collection in low-turbulence regions. In both cases, inclusion of anisotropy in the turbulent kinetic energy was found to be important, but the influence of off-diagonal terms was found to be weak.]

Published: Jan 1, 2006

Keywords: Markov Chain; Direct Numerical Simulation; Turbulent Boundary Layer; Particle Diffusion; Stokes Number

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