Comparison of RANS/CMC modeling of Flame D with conventional and with Presumed Mapping Function statistics

Abstract

Numerical simulations of Sandia Flame D are presented using Reynolds-averaged formulations plus a two equation turbulence model for the flow and mixing fields and a first order Conditional Moment Closure for the flame model. The distributions of probability and Conditional Scalar Dissipation (CSD) in mixture fraction space are modeled first using a Beta PDF (Probability Distribution Function) plus a theoretical model for CSD and then using the consistent, Presumed Mapping Function-based formulation of Mortensen for both PDF and CSD, in both two and three stream mixing modes. It is shown that there is an improvement in predictions compared with experiment when using the consistent models.

Keywords:

• Numerical simulation
• turbulent flames
• conditional moment closure
• Presumed Mapping Functions

Acknowledgments

The authors thank Dr. Mikael Mortensen for his valuable suggestions and for allowing the use of the codes ctest and pmf3 required for the computation of PMF-based statistics. They also want to thank Professors R.W. Bilger and R.S. Barlow for their valuable comments and suggestions.