Validation Of A Stochastic Droplet Breakup Model Applied To A Liquid Jet In Turbulent Crossflow
Author(s)
R. Blanchard & S. Shi
Abstract
Validation of a stochastic droplet breakup
model applied to a liquid jet in turbulent
crossflow
R. Blanchard1 & S. Shi2
1GE Global Research, USA
2GE Power & Water, USA
Abstract
Coal gasification technology has the potential to reduce the environmental
impact of coal power by enabling technologies like integrated gasification
combined cycle (IGCC) and carbon capture for sequestration (CCS) for power
generation. Numerical simulations of the various components of a coal
gasification plant using validated CFD models enables faster configuration
improvement cycles and thereby increased component performance, reliability,
and overall cycle efficiency. Many such computations require the simulation of
turbulent, multi-phase flows where the atomization and agglomeration of liquids
play a critical role in plant processes. This paper focuses on the development and
validation of a stochastic droplet breakup and agglomeration model for use in a
steady-state RANS simulation of a liquid jet in a turbulent cross-flow. The
models aim to accurately predict the trajectories and sizes of liquid droplets
without incurring the computational cost of more expensive methodologies such
as LES or VOF which are currently too computationally intensive to be used in
the design cycle. The model builds on similar models proposed by Apte and
Kuan by proposing a new probability density function (PDF) for the break-up
process and adapting the methodology to a steady-state framework. The model is
then validated against measurements made by Wu. The model shows good
qualitative and quantitative agreement with measurement of the downstream
mass flux distribution of the liquid droplets. An agglomeration model is added to
the simulation which improves the agreement between predicted and measured
Sauter-mean diameter (SMD) of the liquid droplets downstream of the initial
atomization region.
Keywords: atomization, agglomeration, stochastic, gasification.
Keywords
atomization, agglomeration, stochastic, gasification.
Related Book
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