A Priori Assessment of Scalar Dissipation Rate Closure for Large Eddy Simulations of Turbulent Premixed Combustion Using a Detailed Chemistry Direct Numerical Simulation Database. Issue 9 (1st September 2016)

• Record Type: Journal Article
• Authors: Gao, Y.; Minamoto, Y.; Tanahashi, M.; Chakraborty, N.
• Is Part Of: Combustion science and technology. Volume 188:Issue 9(2016)
• Page Start: 1398
• Page End: 1423
• Publication Date: 2016-09-01
• Subjects: Direct numerical simulation -- Large eddy simulations -- Reaction progress variable -- Scalar dissipation rate -- Turbulent premixed combustion; Combustion -- Periodicals; Combustion engineering -- Periodicals; 541.36105
• DOI: 10.1080/00102202.2016.1195821
• Languages: English
• ISSNs: 0010-2202

Abstract

ABSTRACT: Algebraic and transport equation-based closures of Favre-filtered scalar dissipation rate (SDR) of the reaction progress variable, in the context of large eddy simulations, have been assessed using detailed chemistry direct numerical simulation (DNS) data of a stoichiometric H2 -air turbulent V flame. The Favre-filtered SDR and the unclosed terms of its transport equation have been extracted by explicitly filtering the DNS data for different choices of the reaction progress variable. An algebraic closure of SDR, which was proposed previously using simple chemistry DNS data, has been found to predict the Favre-filtered SDR satisfactorily for detailed chemistry DNS data for different choices of the reaction progress variable. Similarly, the models of the unclosed sub-grid convection, density variation, scalar-turbulence interaction, reaction rate gradient, molecular dissipation, and diffusivity gradient terms of the Favre-filtered SDR transport equation, which have previously been proposed based on simple chemistry DNS data, have been found to satisfactorily predict both the qualitative and quantitative behaviors of these unclosed terms for a range of filter widths, for two different choices of reaction progress variable in the case of the detailed chemistry DNS dataset considered in this analysis.