Hybrid RANS/LES of a supersonic combustor

Makowka, Konrad; Dröske, Nils C.; Wolfersdorf, Jens von; Sattelmayer, Thomas

doi:10.1016/j.ast.2017.07.025

Cited by 13 publications

(3 citation statements)

References 16 publications

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“…However, LES that accu-30 rately solves the viscous region of wall-bounded flows is very costly in computer time because of the refined mesh required near the wall. The number of grids increases to such an extent, that the use of LES in practical applications is not always feasible with reasonable 35 computational resources [17,22,23,24]. On the other hand, the RANS methodology based on statistical averages (or in a time averaging that is sufficiently large in comparison with the turbulent time scales, although small enough compared with the evo-40 lution time of the mean flow), appears well adapted to typical flows of engineering with reasonable cost in computations.…”

Section: Introductionmentioning

confidence: 99%

The energy equation for modeling reacting flows on RANS, LES and DES approaches

Marcantoni

Elaskar

Tamagno

2022

Rev.Fac.Ing.Univ.Antioquia

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Computational Fluid Dynamics (CFD), through high-performance computing and robust codes, has proven to be an invaluable tool for the simulation of combustion processes, ranging from low speeddiffusive flames up to detonations. This work intends to provide a review of details needed in modeling asReynolds-averaged Navier–Stokes (RANS), large eddy simulation (LES) or Detached eddy simulation (DES)energy equation in CFD codes used for solving chemically reacting turbulent flows. When the density is variable, traditional Reynolds averages introduce many open correlations between any quantity f and density fluctuations which are difficult to close. Therefore, Favre’s mass-weighted average technique must be preferred.

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Section: Introductionmentioning

confidence: 99%

The energy equation for modeling reacting flows on RANS, LES and DES approaches

Marcantoni

Elaskar

Tamagno

2022

Rev.Fac.Ing.Univ.Antioquia

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“…Over the past decade, large-eddy simulation (LES) has emerged as a promising alternative for prediction of turbulent flows behavior. This methodology is currently being applied to a wide variety of engineering applications, including combustion [20][21][22][23][24][25][26][27], simulations of the wind turbine [28], acoustics [29][30][31][32], combustion noise [33,34] and several studies of SBLI [35,36]. To illustrate, Koo and Raman [37] applied the dynamic Smagorinsky subgrid model for supersonic inlet of an isolator and they found that this model is suitable for capturing the large-scale features of the unstart process.…”

Section: Introductionmentioning

confidence: 99%

Large eddy simulation of pseudo shock structure in a convergent–long divergent duct

Mousavi

Kamali

Sotoudeh

et al. 2021

Computers & Mathematics with Applications

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In this paper, the Pseudo shock structure in a convergent-long divergent duct is investigated using large eddy simulation on the basis of Smagorinsky-Lilly, Wall-Adapting Local Eddy-Viscosity and Algebraic Wall-Modeled LES subgrid models. The first objective of the study is to apply different subgrid models to predict the structure of Lambda form shocks system, while the ultimate aim is to obtain further control of the shock behavior. To achieve these goals, the dynamic grid adaption and hybrid initialization techniques are applied under the 3D investigation to reduce numerical errors and computational costs. The results are compared to the existing experimental data and it is found that the WMLES subgrid model results in more accurate predictions when compared to the other subgrid models. Subsequently, the influences of the divergent section length with the constant ratio of the outlet to throat area and, the effects of discontinuity of the wall temperature on the flow physics are investigated. The results indicate that the structure of compressible flow in the duct is affected by varying these parameters. This is then further discussed to provide a deeper physical understanding of the mechanism of Pseudo shock motion.

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“…Turbulence in particular can be addressed in several ways in the codes: it can be totally resolved by some lab codes (Moureau, 2011), modelled with the RANS/URANS frameworks as it has been done for many years for industrial designs (Cornejo, 2018) or partially resolved with LES (Urbano, 2017) which is an increasing trend. Mixed RANS/LES techniques were also proposed (Makowka, 2017). For each framework, several combustion models were proposed by the scientific community.…”

Section: Introductionmentioning

confidence: 99%

Further insight into the gas flame acceleration mechanisms in pipes. Part II: Numerical work

Lecocq

Leprette

Daubech

et al. 2019

Journal of Loss Prevention in the Process Industries

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This paper is the second part of a global work investigating the physics of premixed flame propagation in several kinds of long pipes. It focuses on the potential of CFD for modelling such cases and on the key issues for being able to address generic cases. Four tests among the database detailed in the first part are selected. In each case, the pipe is straight, open at one end and closed at the other where ignition is triggered. The pipe is filled with a stoichiometric methane/air mixture at rest. Varied parameters are the inner pipe diameter and the pipe material. CFD computations, based on a URANS framework were carried out and enabled to recover several physical trends, such as the role of acoustics and boundary layer turbulence on the flame dynamics. Although most overpressure peaks orders of magnitude of the measured overpressure signals can be predicted numerically, the computed flames are quicker than the measured ones. It could be explained by the chosen turbulent model, the k-ω SST model, known to be adapted for wall-bounded flows but producing too much turbulence for accelerating flows. The criterion for the near wall cells (y + <200) might be too loose as well.

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Hybrid RANS/LES of a supersonic combustor

Cited by 13 publications

References 16 publications

The energy equation for modeling reacting flows on RANS, LES and DES approaches

The energy equation for modeling reacting flows on RANS, LES and DES approaches

Large eddy simulation of pseudo shock structure in a convergent–long divergent duct

Further insight into the gas flame acceleration mechanisms in pipes. Part II: Numerical work

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