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Can I read Assessment of a Flamelet Approach to Evaluating Mean Species Mass Fractions in Moderately and Highly Turbulent Premixed Flames on EtoBox?
Assessment of a Flamelet Approach to Evaluating Mean Species Mass Fractions in Moderately and Highly Turbulent Premixed Flames by A. N. Lipatnikov; T. Nilsson; R. Yu; X. S. Bai; V. A. Sabelnikov is a Engineering article available to read on EtoBox.
What is Assessment of a Flamelet Approach to Evaluating Mean Species Mass Fractions in Moderately and Highly Turbulent Premixed Flames about?
Complex-chemistry direct numerical simulation (DNS) data obtained from lean methane-air turbulent flames are analyzed 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 cT 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 var
Who reads Assessment of a Flamelet Approach to Evaluating Mean Species Mass Fractions in Moderately and Highly Turbulent Premixed Flames?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- A. N. Lipatnikov; T. Nilsson; R. Yu; X. S. Bai; V. A. Sabelnikov
- Publisher
- AIP Publishing
- Published
- 2021
- Language
- EN
- Field
- Engineering (Physical Sciences)
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