Statistical modelling of spray breakup processes in industrial gas-liquid flows
Paper in proceedings, 2015

Sprays are used in industrial applications where high heat and mass transfer rates and good mixing are of primary importance. Today, there is no single mathematical framework available to predict the entire spray breakup process at an acceptable computational cost for a typical problem of industrial size. In this work, we develop a volume-of-fluid (VOF) framework that is combined with Lagrangian particle tracking (LPT) to take advantage of the respective strengths of these two approaches in the dense and dilute regions of the spray. A statistical model is constructed that makes the transition from the VOF to the LPT formulation possible using input data about the primary breakup process obtained from detailed VOF simulations. A novel void-handling scheme is used to make volume conservation possible for the two approaches combined on a single computational mesh. Some examples of the procedure in which the statistical model is tuned are shown and results from the combined framework are presented.

multiphase flow

numerical methods


statistical modelling


spray breakup


Henrik Ström

Chalmers, Energy and Environment, Energy Technology

Chalmers, Applied Mechanics, Fluid Dynamics

Srdjan Sasic

Chalmers, Applied Mechanics, Fluid Dynamics

Conference on Modelling Fluid Flow (CMFF’15), Budapest, Hungary

Driving Forces

Sustainable development

Subject Categories

Other Engineering and Technologies not elsewhere specified

Chemical Engineering

Fluid Mechanics and Acoustics


Basic sciences


C3SE (Chalmers Centre for Computational Science and Engineering)

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