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EUPDF: Eulerian Monte Carlo Probability Density Function Solver for Applications With Parallel Computing, Unstructured Grids, and Sprays

The success of any solution methodology used in the study of gas-turbine combustor flows depends a great deal on how well it can model the various complex and rate-controlling processes associated with the spray's turbulent transport, mixing, chemical kinetics, evaporation, and spreading rates, as well as convective and radiative heat transfer and other phenomena. The phenomena to be modeled, which are controlled by these processes, often strongly interact with each other at different times and locations. In particular, turbulence plays an important role in determining the rates of mass and heat transfer, chemical reactions, and evaporation in many practical combustion devices. The influence of turbulence in a diffusion flame manifests itself in several forms, ranging from the so-called wrinkled, or stretched, flamelets regime to the distributed combustion regime, depending upon how turbulence interacts with various flame scales. Conventional turbulence models have difficulty treating highly nonlinear reaction rates.

A solution procedure based on the composition joint probability density function (PDF) approach holds the promise of modeling various important combustion phenomena relevant to practical combustion devices (such as extinction, blowoff limits, and emissions predictions) because it can account for nonlinear chemical reaction rates without making approximations. In an attempt to advance the state-of-the-art in multidimensional numerical methods, we at the NASA Lewis Research Center extended our previous work on the PDF method to unstructured grids, parallel computing, and sprays (refs. 1 to 2). EUPDF, which was developed by M.S. Raju of Nyma, Inc., was designed to be massively parallel and could easily be coupled with any existing gas-phase and/or spray solvers. EUPDF can use an unstructured mesh with mixed triangular, quadrilateral, and/or tetrahedral elements. The application of the PDF method showed favorable results when applied to several supersonic-diffusion flames and spray flames (refs. 1 to 2). The EUPDF source code will be available with the National Combustion Code (NCC) as a complete package (see the figure in ref. 3).

References

  1. Raju, M.S.: Application of Scalar Monte Carlo Probability Density Function Method for Turbulent Spray Flames. Numer. Heat Trans., Part A, vol. 30, no. 8, 1996, pp. 753-777.

  2. Raju, M.S.: Combined Scalar-Monte-Carlo-PDF/CFD Computations of Spray Flames on Unstructured Grids With Parallel Computing. AIAA Paper 97-2969, 1997.

  3. Raju, M.S.: LSPRAY: Lagrangian Spray Solver for Applications With Parallel Computing and Unstructured Gas-Phase Flow Solvers. Research & Technology 1997. NASA TM-206312, 1997, p. 73. Available online.
Lewis contacts: Dr. Manthena S. Raju, (216) 977-1366, toraju@grc.nasa.gov, and Dr. Nan-Suey Liu, (216) 433-8722, Nan-Suey.Liu@grc.nasa.gov
Author: Dr. Manthena S. Raju
Headquarters program office: OASTT
Programs/Projects: Propulsion Systems R&T, NCC, SGE


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Last updated April 15, 1998, by Nancy.L.Obryan@nasa.gov


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