Assessment of a flamelet approach to evaluating mean species mass fractions in moderately and highly turbulent premixed flames
Artikel i vetenskaplig tidskrift, 2021

Complex-chemistry Direct Numerical Simulation (DNS) data obtained from lean methane-air turbulent flames are analysed to perform a priori assessment of predictive capabilities of the flamelet approach to evaluating mean concentrations of various species in turbulent flames characterized by Karlovitz numbers Ka=6.0, 74.0, and 540. Six definitions of a combustion progress variable c are probed and two types of Probability Density Functions (PDFs) are adapted: (i) actual PDFs extracted directly from the DNS data or (ii) presumed β-function PDFs obtained using the DNS data on the first two moments of the c-field. Results show that the mean density, the mean temperature, and the mean mass fractions of CH4, O2, H2O, CO2, CO, CH2O, CH3, and HCO are very well predicted using the temperature-based combustion progress variable c_ and the actual PDF. For other considered species, the quantitative predictions are worse, but still appear to be encouraging (with the exception of CH3O at Ka=540). The use of the flamelet library obtained from the equidiffusive laminar flame improves results for H2, HO2, and H2O2 at the highest Karlovitz number. Alternative definitions of the combustion progress variable perform worse and the reasons for this are explored. The use of the β-function PDF yields worse results fo r intermediate species such as OH, O, H, CH3, and HCO, with this PDF being significantly different from the actual PDF. Application of the flamelet approach to rates of production/consumption of various species is also addressed and implications of obtained results for modeling are discussed.

flamelet

premixed turbulent combustion

DNS

complex chemistry

modeling

PDF

Författare

Andrei Lipatnikov

Chalmers, Mekanik och maritima vetenskaper, Förbränning och framdrivningssystem, Förbränning och sprejer

Thommie Nilsson

Lunds universitet

Rixin Yu

Lunds universitet

Xue-Song Bai

Lunds universitet

Vladimir Sabelnikov

Office national d'etudes et de recherches aerospatiales (ONERA)

Physics of Fluids

1070-6631 (ISSN) 1089-7666 (eISSN)

Vol. 33 1-25 045121

Drivkrafter

Hållbar utveckling

Ämneskategorier

Teknisk mekanik

Strömningsmekanik och akustik

Fundament

Grundläggande vetenskaper

DOI

10.1063/5.0047500

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Senast uppdaterat

2021-04-27