52nd AIAA/SAE/ASEE Joint Propulsion Conference 2016
DOI: 10.2514/6.2016-4998
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Numerical Modeling of Flow and Combustion in a Single-Element GCH4/GOX Rocket Combustor: Aspects of Turbulence Modeling

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Cited by 5 publications
(5 citation statements)
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References 5 publications
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“…While IVLR uses a ω-based model, JAXA uses an ε-based one which has been shown to predict a stronger mixing. 3 The ADS simulation overestimates the heat flux in the first part of the chamber substantially, but comes closer to the experimental data towards the combustor end. ADS uses a combustion model that assumes local chemical equilibrium in every computational cell explaining the comparatively high values for the heat output.…”
Section: B Prediction Of Wall Heat Fluxsupporting
confidence: 62%
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“…While IVLR uses a ω-based model, JAXA uses an ε-based one which has been shown to predict a stronger mixing. 3 The ADS simulation overestimates the heat flux in the first part of the chamber substantially, but comes closer to the experimental data towards the combustor end. ADS uses a combustion model that assumes local chemical equilibrium in every computational cell explaining the comparatively high values for the heat output.…”
Section: B Prediction Of Wall Heat Fluxsupporting
confidence: 62%
“…This is probably related to the fact that LFA and TD use the lowest value for the turbulent Schmidt number as well as a k-ε turbulence model, which has shown to predict a stronger mixing compared to the ω-based models. 3 In contrast the stoichiometric contour predicted by CERFACS opens quickly and touches the wall at about half of the chamber length.…”
Section: A Combustion Process and Flame Structurementioning
confidence: 95%
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“…However, since these are not practical in design and development of liquid rocket engine because of those enormous calculation cost, steady calculation using Reynolds averaged Navier-Stokes (RANS) has been mainly conducted (Shima, 2016). Currently, the turbulence models in RANS especially have a great effect on flow field both in the combustion (Ivancic et al, 2013, Chemnitz et al, 2016 and noncombustion state (Park, 2012), and the relative difference in results can be several tens of percent in some cases.…”
Section: Resultsmentioning
confidence: 99%
“…The different approaches are here compared and analyzed to understand how chemistry and TCI contribute to the differences between the numerical solutions and to the experiment. A comparison to experimental data can be found in Roth et al 1 The role of turbulence is studied in more detail in Chemnitz et al 2 First, the two chemical schemes are described and evaluated against a detailed one for canonical flame configurations. Then the different simulations are presented and compared in terms of global flame shape and flow structure.…”
Section: Introductionmentioning
confidence: 99%