Spatial evolution of droplet size and velocity characteristics in a swirl spray

TL;DR

This study investigates how droplet size and velocity characteristics evolve spatially in a swirl spray, identifying the near and far regions and analyzing their distinct behaviors to inform combustion process optimization.

Contribution

It provides a detailed spatial analysis of droplet size and velocity evolution in a swirl spray, including the transition point between near and far regions and statistical modeling of droplet distributions.

Findings

Near region extends to 2.0-2.5 times film breakup length.

Bimodal droplet size and velocity distributions in near region.

Drop size and velocity are influenced by airflow and inertia.

Abstract

Spray drop size distribution generated by atomization of fuel influences several facets of a combustion process such as, fuel-air mixing, reaction kinetics and thrust generation. In a typical spray, the drop size distribution evolves spatially, varying significantly between the near and far regions of the spray. Studies so far have focused on either one of these regions and are unclear on the exact axial location of transition. In this work, we address this crucial gap by considering a swirl atomizer and measuring the droplet characteristics for different liquid flow conditions of the ensuing spray at various radial and axial locations. Our results reveal an axial variation in the scaled radial droplet velocity profiles, not followed by the radial drop size profiles, from which we demarcate the near region as the zone which extends to 2.0 to 2.5 times film breakup length. Beyond this distance, the drop size characteristics are influenced by external factors such as airflow and identified as the far region. Further, we locate the point of origin of the droplet high-velocity stream along the spray centreline to the end of film breakup of the spray. We also find that the global probability density functions for droplet size and velocity which show a bimodal behavior in the near-region and unimodal in the far-region being well represented by the double Gaussian and Gamma distributions, respectively. We further quantify our results by number and volume flux distributions, global mean drop sizes, drop size ($D_d$) axial velocity ($U_a$) correlations, axial velocity based on drop size classification and turbulent kinetic energy (TKE) to reveal the effect of drop inertia and air flow in determining the statistics in both the near and far regions. We anticipate the findings of this work will guide future investigations on combustion processes and combustor design based on spray characteristics.