Large Eddy Simulations of a Premixed Jet Combustor Using Flamelet-Generated Manifolds: Effects of Heat Loss and Subgrid-Scale Models
AuthorsHernandez Perez, Francisco E.
Lee, Bok Jik
Im, Hong G.
van Oijen, Jeroen A.
de Goey, Philip H.
KAUST DepartmentClean Combustion Research Center
Permanent link to this recordhttp://hdl.handle.net/10754/625562
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AbstractLarge eddy simulations of a turbulent premixed jet flame in a confined chamber were conducted using the flamelet-generated manifold technique for chemistry tabulation. The configuration is characterized by an off-center nozzle having an inner diameter of 10 mm, supplying a lean methane-air mixture with an equivalence ratio of 0.71 and a mean velocity of 90 m/s, at 573 K and atmospheric pressure. Conductive heat loss is accounted for in the manifold via burner-stabilized flamelets and the subgrid-scale (SGS) turbulencechemistry interaction is modeled via presumed probability density functions. Comparisons between numerical results and measured data show that a considerable improvement in the prediction of temperature is achieved when heat losses are included in the manifold, as compared to the adiabatic one. Additional improvement in the temperature predictions is obtained by incorporating radiative heat losses. Moreover, further enhancements in the LES predictions are achieved by employing SGS models based on transport equations, such as the SGS turbulence kinetic energy equation with dynamic coefficients. While the numerical results display good agreement up to a distance of 4 nozzle diameters downstream of the nozzle exit, the results become less satisfactory along the downstream, suggesting that further improvements in the modeling are required, among which a more accurate model for the SGS variance of progress variable can be relevant.
CitationHernandez Perez FE, Lee BJ, Im HG, Fancello A, Donini A, et al. (2017) Large Eddy Simulations of a Premixed Jet Combustor Using Flamelet-Generated Manifolds: Effects of Heat Loss and Subgrid-Scale Models. 55th AIAA Aerospace Sciences Meeting. Available: http://dx.doi.org/10.2514/6.2017-0379.
SponsorsThis research work was sponsored by King Abdullah University of Science and Technology (KAUST). The simulations utilized the computing resources at KAUST Supercomputing Laboratory and Research Computing.
Conference/Event name55th AIAA Aerospace Sciences Meeting