An Eulerian model of droplet dispersion in turbulent flow
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Date
2014
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University of New Brunswick
Abstract
Industrial sprays are common in many operations where liquid application
to surfaces is required. Simulation of spray characteristics and surrounding
flow conditions is crucial for maximizing spray efficacy. Traditionally,
droplet modelling has been performed using a Lagrangian approach which requires
tracking a sufficient number of droplets to form statistical estimates of
droplet deposition. Alternatively, an Eulerian-based flow and droplet transport
model using the Direct Quadrature Method of Moments (DQMOM) is
applied to spray modeling. This model is coupled with the Reynolds Averaged
N avier Stokes (RANS) equations and Shear Stress Transport (SST)
turbulence model. The method described uses a novel turbulent diffusion
coefficient model based on a full parametric study using Lagrangian particle
tracking in a uniform, homogeneous and isotropic turbulent flow field.
The model results are compared to: 1) Lagrangian tracking predictions of a
log-normal particle size distribution injected into a homogeneous, isotropic
turbulent flow field, and 2) full-scale experimental wind tunnel measurements
in the anisotropic, non-homogeneous wake of a hollow cone hydraulic nozzle.