Multiple mapping conditioning: A new modelling framework for turbulent combustion

Abstract

Multiple mapping conditioning (MMC) is a relatively new addition to the list of models for turbulent combustion that unifies the features of the probability density function, conditional moment closure and mapping closure models. This chapter presents the major concepts and theory of MMC without the detailed derivations which can be found in the cited literature. While the fundamental basis remains the same, MMC ideas have undergone considerable evolution since they were first proposed and the result is a generalised combustion modelling framework which can more transparently and simply incorporate the major turbulence models which have been developed over the past decades including LES. A significant part of this chapter is devoted to a review of the published MMC applications comparing model predictions with DNS and experimental flame databases. Finally, the chapter concludes with a list of some of the advances in MMC methodology that we can expect to see in the coming years. © Springer Science+Business Media B.V. 2011.