APPLICATION OF SCALAR MONTE-CARLO PROBABILITY DENSITY-FUNCTION METHODFOR TURBULENT SPRAY FLAMES

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.