Study on the potential of BML-approach and G-equation concept-based models for predicting swirling partially premixed combustion systems: URANS computations

Schneider, E.; Maltsev, Alexander; Sadiki, A.; Janicka, J.

doi:10.1016/j.combustflame.2007.10.013

Cited by 21 publications

(10 citation statements)

References 37 publications

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“…This study shows the value of adequate grid count and maximum cell size for URANS solutions of the TECFLAM case. Counting the difference in swirl number, this value is in agreement with one Schneider obtained 23 . The results of the mesh dependency analysis have showed that over 900000 grid element mesh independent calculations can be performed.…”

Section: Mesh Dependency Analysissupporting

confidence: 89%

“…The same test case was studied by E. Schneider 23 showed that a mesh of 550 000 grid elements was good enough to obtain a mesh independent solution for the premixed TECFLAM case with 0.75 swirl number with URANS approach. Sadiki et al 24 later validated Wegner's findings also.…”

Section: Introductionmentioning

confidence: 96%

“…The experimental measurements have been carried out by different research groups [8][9][10][11][12][13][14] . This setup or setup similar to S09 is studied by many researchers [15][16][17][18][19][20][21][22][23][24][25] . Two Dimensional axi-symmetric CFD computations were carried out in the nineties when the test setup was first introduced as a lack of the available CPU power.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unsteady RANS for Simulation of High Swirling Non-Premixed Methane-Air Flame

Solmaz¹,

Uslu²,

Uzol³

2014

50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference

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Highly swirled non-premixed methane-air combustion is studied using Unsteady RANS. The increased CPU power at present times makes RANS solutions a viable design methodology for industrial applications. LES, Large Eddy Simulation, is still a bit far away from being the routine approach as a design tool in industry. The confined non-premixed TECFLAM S09C flame is investigated because of its similarity with gas turbine engine combustors. A block structured hexahedral computational mesh is used for the whole domain for higher numerical accuracy. A first-order accurate Euler Implicit technique is used for the temporal discretization of the transient terms. Realizable k-ε turbulence model is employed in order to account for the turbulent flow effects on the flow field and chemical reactions. Results of fast and two step reactions are compared with finite rate chemistry. Results show that, the best solution is obtained by using Finite Rate Eddy Dissipation Model.The infinitely fast chemistry approach is not capable of predicting the reaction delay that is clearly observed in the experiments. Instead, the fast chemistry approach show reaction zones in the close vicinity of the swirler where the fuel-air mixing is not well achieved for the reactions to take place in such a short distance. The flow field is directly affected by the heat release rate that is determined by the fuel air mixing and combustion model. Nomenclature S= swirl number ρ = density U = velocity U θ ,W = circumference velocity U r ,u = axial velocity A = area k = kinetic energy ε = eddy dissipation rate R = swirler radius D = swirler diameter r = radial location CRZ = central recirculation zone EDM = eddy dissipation model

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Section: Mesh Dependency Analysissupporting

confidence: 89%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Unsteady RANS for Simulation of High Swirling Non-Premixed Methane-Air Flame

Solmaz¹,

Uslu²,

Uzol³

2014

50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference

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“…It was demonstrated that a URANS approach yields reasonable results for PVC dominated flows (Sadiki et al, 2006;Schneider et al, 2008).…”

Section: Partially Resolved Coherent Structures (Urans)mentioning

confidence: 96%

Numerical and experimental investigation on droplet dynamics and dispersion of a jet engine injector

Keller

Gebretsadik

Habisreuther

et al. 2015

International Journal of Multiphase Flow

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“…Equation 38 corresponds to a simple kinematic description and its coupling with the density field through heat release requires some care [96][97][98]. However, despite some drawbacks, this approach has become one of the most commonly used in large eddy simulations of premixed combustion [12,66,94,97,[99][100][101][102][103][104][105]. It is also well-suited to large computational domains as the inner structure of the turbulent flame brush does not need to be resolved.…”

Section: Level Set or "G-equation" Formalismmentioning

confidence: 99%

Modeling Combustion Chemistry in Large Eddy Simulation of Turbulent Flames

Fiorina

Veynante

Candel

2014

Flow Turbulence Combust

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Flame ignition, stabilization and extinction or pollutant predictions are crucial issues in Large Eddy Simulations (LES) of turbulent combustion. These phenomena are strongly influenced by complex chemical effects. Unfortunately, despite the rapid increase in computational power, performing turbulent simulations of industrial configurations including detailed chemical mechanisms will still remain out of reach for a long time. This article proposes a review of commonly-used approaches to address fluid/chemistry interactions at a reduced computational cost. Several chemistry modeling routes are first examined with a focus on tabulated chemistry techniques. The problem of coupling chemistry with LES is considered in a second step. Examples of turbulent combustion simulations are presented in the final part of the article. Three LES applications are analyzed: a lean swirled combustor, a non-adiabatic turbulent stratified flame and a combustion chamber where internal recirculations promote the dilution of fresh gases by burnt gases. Keywords Turbulent combustion • Large Eddy Simulation • Tabulated chemistry • Complex chemistry 1 Introduction Combustion accounts for about 90 % of the global consumption of primary energy [1]. Despite its environmental impact this share will probably not fall in the near future. Combustion delivers energy which is immediately available through the exothermic conversion of gaseous, liquid or solid fuels. There are no other way to provide energy which are as convenient and as effective. In automotive or aerospace applications, combustion provides

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Study on the potential of BML-approach and G-equation concept-based models for predicting swirling partially premixed combustion systems: URANS computations

Cited by 21 publications

References 37 publications

Unsteady RANS for Simulation of High Swirling Non-Premixed Methane-Air Flame

Unsteady RANS for Simulation of High Swirling Non-Premixed Methane-Air Flame

Numerical and experimental investigation on droplet dynamics and dispersion of a jet engine injector

Modeling Combustion Chemistry in Large Eddy Simulation of Turbulent Flames

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