Large eddy simulation of turbulent partially premixed flames with inhomogeneous inlets using the dynamic second-order moment closure model

Luo, Kun; Liu, Runzhi; Bai, Yu; Bi, Wenjian; Fan, Jianren

doi:10.1080/13647830.2020.1749310

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Similar results have been found by (Kleinheinz et al 2017;Perry et al 2017;Tian and Lindstedt 2019). Luo et al (2020) found in their LES, that about 70 % of the heat release rate originates from premixed-dominated regions in the upstream part of the flame and further downstream this reduces to 40 %. The quasi-DNS results show that the relative importance of the premixed regions reaches up to 90 % at x∕D ≈ 5 and stays dominant in the whole range of 0 < x∕D < 10 .…”

Section: Overview Of the Flame Structuresupporting

confidence: 88%

“…Chen et al (2020) showed that an LES model based on unstrained premixed flamelets is able to qualitatively predict the correct trend of local extinction with inflow velocity for the Sydney flame further downstream. Luo et al (2020) applied a dynamic second-order moment closure model to LES and found that the premixed flame is dominant upstream, causing 70 % of the heat release, which then decreases to about 40 % downstream, with an overall good agreement with measurements. Hansinger et al (2020) performed LES with the Eulerian Stochastic Fields Method and assessed the influence of the number of stochastic fields on the quality of the simulation results.…”

Section: Introductionmentioning

confidence: 90%

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Identification of Flame Regimes in Partially Premixed Combustion from a Quasi-DNS Dataset

Zirwes

Zhang

Habisreuther

et al. 2020

Flow Turbulence Combust

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Identifying combustion regimes in terms of premixed and non-premixed characteristics is an important task for understanding combustion phenomena and the structure of flames. A quasi-DNS database of the compositionally inhomogeneous partially premixed Sydney/Sandia flame in configuration FJ-5GP-Lr75-57 is used to directly compare different types of flame regime markers from literature. In the simulation of the flame, detailed chemistry and diffusion models are utilized and no turbulence and combustion models are used as the flame front and flow are fully resolved near the nozzle. This allows evaluating the regime markers as a post-processing step without modeling assumptions and directly comparing regime markers based on gradient alignment, drift term analysis and gradient free regime identification. The goal is not to find the correct regime marker, which might be impossible due to the different set of assumptions of every marker and the generally vague definition of the partially premixed regime itself, but to compare their behavior when applied to a resolved turbulent flame with partially premixed characteristics.

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