Comparison of submodels for conditional velocity and scalar dissipation in CMC simulation of piloted jet and bluff-body flames

Sreedhara, S.; Lee, Y.; Huh, Kang Y.; Ahn, Dal-Hong

doi:10.1016/j.combustflame.2007.08.008

Cited by 25 publications

(9 citation statements)

References 13 publications

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“…Several models for the conditional velocity have been proposed. Swaminathan and Bilger [31] tested the linear model [1], gradient model [32] and PDF model using the DNS data of premixed combustion a-priori, while Sreedhara et al [33] assessed three different closures for the conditional velocity, namely the conditional independent model, the linear model and the gradient model for two jet flames a-posteriori. In both studies, the performance of the linear model was promising.…”

Section: Conditional Scalar Dissipation Rate and Velocitymentioning

confidence: 99%

Conditional statistics of a laboratory-scale lifted turbulent H 2 /N 2 flame using direct numerical simulation

Wang

Luo

Qiu

et al. 2015

International Journal of Hydrogen Energy

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Section: Conditional Scalar Dissipation Rate and Velocitymentioning

confidence: 99%

Conditional statistics of a laboratory-scale lifted turbulent H 2 /N 2 flame using direct numerical simulation

Wang

Luo

Qiu

et al. 2015

International Journal of Hydrogen Energy

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“…The conditional velocity arising in LHS of Eq. (3) is modeled as [17] hu i jgi ¼ũ i þ hu 00 i n 00 ĩ n 002 ðg ÀñÞ ð 7Þ…”

Section: Mathematical Formulationmentioning

confidence: 99%

A numerical study on the influence of airstream dilution and jet velocity on NO emission characteristics of CH4 and DME bluff-body flames

Roy

Sreedhara

2015

Fuel

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“…A large number of modeling attempts have been performed in the context of both RANS and LES using different combustion approaches. 6,[20][21][22] Therefore the primary focus of the current paper is to investigate the suitability of MMC model as a generalized scalar mixing model.…”

Section: A Case Configurationmentioning

confidence: 99%

“…8 The alternative models were briefly discussed in Sec. I and a detailed explanation of their performance for the flame conditions considered is given by Sreedhara et al 6 The three conditional scalar dissipation models depend directly ͑MMC and AMC͒ or indirectly ͑PDF integration model͒ on Ñ Z . For MMC, Ñ Z is given by Eq.…”

Section: B Model Validationmentioning

confidence: 99%

“…Simple models which link ͗N Z ͉ ͘ to Ñ Z have been developed but most are inconsistent with the PDF transport equation. 4 Recent CMC based studies 4,[6][7][8][9] derive the conditional scalar dissipation from the double integration of the mixture fraction PDF transport equation, thus enforcing consistency between ͗N Z ͉ ͘ and P Z . Unfortunately this approach suffers from numerical problems in regions of low probability as the final model formula contains P Z in the denominator.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning

et al. 2009

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This is the published version of the paper.This version of the publication may differ from the final published version. Multiple mapping conditioning ͑MMC͒ combines the probability density function ͑PDF͒ and the conditional moment closure ͑CMC͒ methods via the application of a generalized mapping function to a prescribed reference space. Stochastic and deterministic formulations of MMC exist, and the deterministic implementation has been applied here to a piloted jet diffusion flame ͑Sandia Flame D͒. This paper focuses on the feasibility of MMC and its closures for real ͑laboratory͒ flames and a relatively simple one-dimensional reference space that represents mixture fraction has been used. The remaining chemically reactive species are implicitly conditioned on mixture fraction and their fluctuations around the conditional mean are neglected. This work primarily evaluates the ability of the deterministic form of MMC to provide accurate and consistent closures for the mixture fraction PDF and the conditional scalar dissipation which do not rely on presumed shape functions for the PDF such as the commonly used ␤-PDF. Computed probability distributions agree well with measurements, and a detailed comparison of the modeled conditional and mean scalar dissipation with experimental data and conventional closures demonstrate MMC's potential. Predictions of reactive species and temperature are in good agreement with experimental data and similar in quality to singly conditioned, first-order CMC predictions. MMC therefore provides an attractive-since consistent-alternative approach for the modeling of scalar mixing in turbulent reacting flows. Permanent repository link

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Comparison of submodels for conditional velocity and scalar dissipation in CMC simulation of piloted jet and bluff-body flames

Cited by 25 publications

References 13 publications

Conditional statistics of a laboratory-scale lifted turbulent H 2 /N 2 flame using direct numerical simulation

Conditional statistics of a laboratory-scale lifted turbulent H 2 /N 2 flame using direct numerical simulation

A numerical study on the influence of airstream dilution and jet velocity on NO emission characteristics of CH4 and DME bluff-body flames

Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning

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