Size distribution modelling of secondary atomization in spray of plain-jet airblast atomizer with finite stochastic breakup model

TL;DR

This study combines experimental measurements and a finite stochastic breakup model to analyze secondary atomization in plain-jet airblast atomizers, achieving good agreement between observed and predicted droplet size distributions.

Contribution

It introduces a finite stochastic breakup model with four parameters to accurately predict droplet size distribution in secondary atomization, validated by experimental data.

Findings

Model predictions closely match experimental droplet size distributions.

Optimal atomization performance can be achieved by considering breakup dynamics.

Experimental data confirms the effectiveness of the stochastic breakup model.

Abstract

An experimental investigation of secondary atomization of spray in plain-jet airblast atomizers with a circular array of six liquid jets is studied. Crossflow of air with controlled velocity and pressure is applied to transverse jets. The liquid jets (Re=12000) are injected into airflow (Weg of 1250-3000) analyzed experimentally for different injection diameters of 0.8-1.6 mm. Particle size distribution measurement is carried out by Malvern Mastersizer X in the fully atomized region of the atomizer. The droplet size distribution in the secondary or final atomization stage is also modeled by the Finite stochastic Breakup model, which requires 4 parameters to be defined i.e. initial droplet diameter, maximum stable droplet size, minimum mass ratio, and droplet breakup probability. The modeling approximation is in very good agreement with the experimental result. This remarkable consistency between model and experiment is quite useful in terms of optimal atomization performance by considering the dynamics of the liquid jet.