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    Prediction of mean radical concentrations in lean hydrogen-air turbulent flames at different Karlovitz numbers adopting a newly extended flamelet-based presumed PDF

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    Lipatnikov_etal_2021_flamelet_PDF_Ka.pdf
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    Description:
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    Type
    Article
    Authors
    Lipatnikov, A. N.
    Sabelnikov, V. A.
    Hernandez Perez, Francisco
    Song, W.
    Im, Hong G. cc
    KAUST Department
    Clean Combustion Research Center
    Computational Reacting Flow Laboratory (CRFL)
    Mechanical Engineering Program
    Physical Science and Engineering (PSE) Division
    dClean Combustion Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
    Date
    2020-12-23
    Online Publication Date
    2020-12-23
    Print Publication Date
    2021-04
    Embargo End Date
    2022-12-23
    Submitted Date
    2020-07-29
    Permanent link to this record
    http://hdl.handle.net/10754/666894
    
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    Abstract
    A recent analysis (Lipatnikov et al., 2020) of complex-chemistry direct numerical simulation (DNS) data obtained from lean hydrogen-air flames associated with corrugated-flame (case A), thin-reaction-zone (case B), and broken-reaction-zone (case C) regimes of turbulent burning has shown that the flamelet concept (i) can predict mean concentrations of various species in those flames if the probability density function (PDF) for the fuel-based combustion progress variable c is extracted from the DNS data, but (ii) poorly performs for the mean rate W¯c of product creation. These results suggest applying the concept to evaluation of mean species concentration (but not the mean rate) in combination with another closure relation for W¯c whose predictive capabilities are better. This proposal is developed in the present paper whose focus is placed on studying a new flamelet-based presumed PDF P(c) for predictions of mean concentration of radicals in engineering computational fluid dynamics (CFD) applications. Analysis of the DNS data shows that (i) the flamelet PDF performs well at intermediate values of c in cases A and B, but should be truncated at small and large c, (ii) modeling P(c) in the radical recombination zone (i.e., at large c) is of importance for predicting mean concentrations of H,O, and OH. Accordingly, the flamelet PDF is truncated and combined with a uniform P(c) at large c. Moreover, the mean rate W¯c extracted from the DNS data is used to calibrate the PDF (the rate is considered to be given by another model). Assessment of the approach against the DNS data shows that it well predicts mean density, temperature, and concentrations of reactants, product, and the aforementioned radicals in cases A and B. In case C, the approach performs worse for OandOH at large c¯ and moderately underestimates the mean concentration of H in the entire flame brush.
    Citation
    Lipatnikov, A. N., Sabelnikov, V. A., Hernández-Pérez, F. E., Song, W., & Im, H. G. (2021). Prediction of mean radical concentrations in lean hydrogen-air turbulent flames at different Karlovitz numbers adopting a newly extended flamelet-based presumed PDF. Combustion and Flame, 226, 248–259. doi:10.1016/j.combustflame.2020.12.009
    Sponsors
    ANL gratefully acknowledges the financial support provided by CERC. VAS gratefully acknowledges the financial support provided by ONERA and by the Grant of the Ministry of Education and Science of the Russian Federation (Contract No. 14.G39.31.0001 of 13.02.2017) and by the Ministry of Science and Higher Education of the Russian Federation (Grant agreement of December, 8, 2020 № 075-11-2020-023), TsAGI, the World-Class Research Center “Supersonic”. WS, FEHP, and HGI were sponsored by King Abdullah University of Science and Technology (KAUST). Computational resources for the DNS calculations were provided by the KAUST Supercomputing Laboratory.
    Publisher
    Elsevier BV
    Journal
    Combustion and Flame
    DOI
    10.1016/j.combustflame.2020.12.009
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0010218020305563
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.combustflame.2020.12.009
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Mechanical Engineering Program; Clean Combustion Research Center

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