Stochastic Model for Nonisothermal Droplet-Laden Turbulent Flows

Abstract

A stochastic model is proposed for the prediction of velocity and temperature fluctuations in turbulent flows laden with nonevaporating droplets. The model is based on a first-order time series analysis, addresses the anisotropy of turbulence, and adequately takes into account the temporal correlations. The gravity effect is not considered in this study. The performance of the model is assessed by conducting simulations of droplet-laden homogeneous shear flows