Abstract
Comparison of numerical models for prediction of pressure-swirl atomizer internal flow
Highlights
Pressure - swirl atomizers (PS) play a unique role in many industrial applications including combustion, spray cooling, spray drying, etc
The steady Reynolds Stress model (RSM) reached the largest deviation from the experimental data, since it was unable to predict the air-core within the swirl chamber
Note here that RSM model underperformed other turbulence models, as in [8]. This result was not expected, since the RSM should be superior for flows with anisotropic turbulence, which is the case of swirl atomizer
Summary
Pressure - swirl atomizers (PS) play a unique role in many industrial applications including combustion, spray cooling, spray drying, etc. One of the first numerical studies of the PS atomizer was conducted in 1997 by Yule and Chinn [4] They used a 2D axisymmetric geometry with a laminar solver and reported a deviation of discharge coefficient, CD, from an experimental data to be less than 3%. A similar numerical setup was later used by Amini [2] Even this simple 2D model yield better agreement with the experimental data than the analytical viscous solution. A comparison of Large Eddy Simulation (LES) and laminar models was performed by Madsen et al [7] They used a scaled atomizer and operated it in range of Re = 12,000–41,000. The authors examined simple turbulence models represented by RNG (renormalization group) and realizable k-ε models These models were unable to predict the internal air-core.
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