Ms. Raju, APPLICATION OF SCALAR MONTE-CARLO PROBABILITY DENSITY-FUNCTION METHODFOR TURBULENT SPRAY FLAMES, Numerical heat transfer. Part A, Applications, 30(8), 1996, pp. 753-777
The objective of the present work is twofold: (I) extend the coupled M
onte Carlo probability density function (PDF)/computational fluid dyna
mics (CFD) computations to the modeling of turbulent spray flames, and
(2) extend the PDF/SPRAY/CFD module to parallel computing in order to
facilitate large-scale combustor computations. In this approach, the
mean gas phase velocity and turbulence fields are determined from a st
andard turbulence model, the joint composition of species and enthalpy
from the solution of a modeled PDF transport equation, and a Lagrangi
an-based dilute spray model is used for the liquid-phase representatio
n. The PDF transport equation is solved by a Monte Carlo method, and t
he mean gas phase velocity and turbulence fields together with the liq
uid phase equations are solved by existing state-of-the-art numerical
representations. The application of the method to both open as well as
confined axisymmetric swirl-stabilized spray flames shows good agreem
ent with the measured data. Preliminary estimates indicate that it is
well within reach of today's modern parallel computer to do a realisti
c gas turbine combustor simulation within a reasonable turnaround time
. The article provides complete details of the overall algorithm, para
llelization, and other numerical issues related to coupling between th
e three solvers.