The impact of the
in-flow characteristics inside the injection
nozzle on atomization has been experimentally and computationally
studied. Measurements are carried out using a transparent glass nozzle.
Pulsed laser sheet with a synchronized charge-coupled device (CCD)
camera and image processing, together with a particle image velocimetry
(PIV) setup have been used as measuring techniques. Images and relevant
image processing are used to visualize and quantify the rate of generation
of cavitation bubbles inside the nozzle, the spray particle size distribution,
and cone angle. Velocities inside and outside the injection nozzle
are measured using PIV. The experimental investigation has been extended
to include a wider range of the injection nozzle geometrical aspect
ratios and working parameters. The computational model is a three-dimensional,
two-phase, turbulent model to solve both the in- and out-nozzle flows.
A novel coupling mathematical model is proposed for the definition
of the probability density function of the issuing droplet size distribution,
based on the in-flow developed conditions. A good agreement between
both the experimental and computational results has been found under
all conditions. According to both the experimental and computational
results, it has been found that the onset of cavitation inside the
injection nozzle, its location, collapse, and consequently the issuing
spray configurations depend on the flow cavitation number, the nozzle
geometrical characteristics, the liquid temperature, and the injection
and back pressures. According to the quality of the obtained results
from the model, it can be used to extend the study to cover a wider
range of spray applications.