Numerical simulations of an aerated-liquid jet in a Mach 0.3 crossflow are compared to phase Doppler particle analyzer and confocal x-ray measurements. The aerated-liquid crossflow is simulated using a Reynold's averaged Navier-Stokes (RANS) shear stress transport (SST) turbulence model coupled to a Lagrangian droplet tracker to simulate the structures of the discharged plumes. Two injection models are tested: a planar boundary at the injector nozzle exit, and a real fluids mixture model with an Eulerian to Lagrangian transfer function. This hybrid flow model, coined the dense spray model, uses a real fluids equation of state for the two-phase mixture in the injector nozzle. After expanding into the subsonic crossflow, where the gas and liquid are sufficiently decoupled, the two-phase mixture model transitions to a Lagrangian model to predict droplet trajectories. A grid refinement study is conducted for both models. Comparisons to experimental data at the centerline of the injection plume and twenty-five injector diameters downstream of the injection location indicate reasonable agreement for the two models applied. In general, the dense spray model was found to better predict the penetration height and plume width of the spray when compared to experimental measurements.
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