A priori direct numerical simulation assessment of MILD combustion modelling in the context of large eddy simulation
A priori direct numerical simulation assessment of MILD combustion modelling in the context of large eddy simulation
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大涡模拟背景下 MILD 燃烧模型的先验直接数值模拟评估
DOI:
10.1016/j.fuel.2023.130295
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发表时间:
2024
期刊:
影响因子:
7.4
通讯作者:
Awad H
中科院分区:
文献类型:
--
作者:
Awad H
A priori Direct Numerical Simulation (DNS) assessment of the closures for the filtered reaction rate and the Favre-filtered scalar dissipation rate (SDR) for large eddy simulations (LES) of homogenous and stratified mixture MILD combustion has been performed. It has been found that the probability density function of the reaction progress variable can be adequately predicted using the beta function for both homogenous and stratified mixture MILD combustion. It has also been found that a scalar dissipation rate closure characteristic of passive scalar mixing may not be suitable for homogenous and stratified mixture MILD combustion. The predictions of different filtered reaction rate closures have been assessed with respect to DNS data in this study. The Eddy Dissipation Concept (EDC), Eddy-Break Up (EBU) model, and SDR-based reaction rate closures for Reynolds Averaged Navier-Stokes simulations have been extended for MILD combustion in the context of LES. The SDR-based reaction rate closure captures the qualitative behaviour but overpredicts the filtered reaction rate for both homogenous and stratified mixture MILD combustion. The EBU-based reaction rate and flame surface density (FSD) closures did not capture the qualitative behaviour of the filtered reaction rate for both homogenous and stratified mixture MILD combustion. By contrast, the EDC model with bridging functions, which ensures asymptotic behaviour, shows the potential to provide reasonable predictions of the filtered reaction rate for a wide range of filter widths in the cases investigated here.
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DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
Y. Gao;N. Chakraborty;N. Swaminathan
通讯作者:
N. Swaminathan
影响因子:
1.9
作者:
Y. Minamoto;N. Swaminathan;R. Cant;T. Leung
通讯作者:
T. Leung
影响因子:
1.9
作者:
I. Langella;N. Swaminathan;F. Williams;J. Furukawa
通讯作者:
J. Furukawa
影响因子:
3.4
作者:
Zhiyi Li;A. Cuoci;A. Parente
通讯作者:
Zhiyi Li;A. Cuoci;A. Parente
影响因子:
4.4
作者:
Chakraborty, Nilanjan;Cant, R. S.
通讯作者:
Cant, R. S.