TY - GEN

T1 - Prediction of combustion noise in a model combustor using a network model and a lnse approach

AU - Ullrich, Wolfram C.

AU - Hirsch, Christoph

AU - Sattelmayer, Thomas

AU - Mahmoudi, Yasser

AU - Dowling, Ann P.

AU - Swaminathan, Nedunchezhian

AU - Lackhove, Kilian

AU - Sadiki, Amsini

AU - Fischer, Andŕe

AU - Staufer, Max

N1 - Publisher Copyright:
© 2017 ASME.

PY - 2017

Y1 - 2017

N2 - The reduction of pollution and noise emissions of modern aero engines represents a key concept to meet the requirements of the future air traffic. This requires an improvement in the understanding of combustion noise and its sources, as well as the development of accurate predictive tools. This is the major goal of the current study where the LOTAN network solver and a hybrid CFD/CAA approach are applied on a generic premixed and pressurized combustor to evaluate their capabilities for combustion noise predictions. LOTAN solves the linearized Euler equations (LEE) whereas the hybrid approach consists of RANS mean flow and frequency-domain simulations based on linearized Navier-Stokes equations (LNSE). Both solvers are fed in turn by three different combustion noise source terms which are obtained from the application of a statistical noise model on the RANS simulations and a postprocessing of an incompressible and compressible LES. In this way the influence of the source model and acoustic solver is identified. The numerical results are compared with experimental data. In general good agreement with the experiment is found for both the LOTAN and LNSE solvers. The LES source models deliver better results than the statistical noise model with respect to the amplitude and shape of the heat release spectrum. Beyond this it is demonstrated that the phase relation of the source term does not affect the noise spectrum. Finally, a second simulation based on the inhomogeneous Helmholtz equation indicates the minor importance of the aerodynamic mean flow on the broadband noise spectrum.

AB - The reduction of pollution and noise emissions of modern aero engines represents a key concept to meet the requirements of the future air traffic. This requires an improvement in the understanding of combustion noise and its sources, as well as the development of accurate predictive tools. This is the major goal of the current study where the LOTAN network solver and a hybrid CFD/CAA approach are applied on a generic premixed and pressurized combustor to evaluate their capabilities for combustion noise predictions. LOTAN solves the linearized Euler equations (LEE) whereas the hybrid approach consists of RANS mean flow and frequency-domain simulations based on linearized Navier-Stokes equations (LNSE). Both solvers are fed in turn by three different combustion noise source terms which are obtained from the application of a statistical noise model on the RANS simulations and a postprocessing of an incompressible and compressible LES. In this way the influence of the source model and acoustic solver is identified. The numerical results are compared with experimental data. In general good agreement with the experiment is found for both the LOTAN and LNSE solvers. The LES source models deliver better results than the statistical noise model with respect to the amplitude and shape of the heat release spectrum. Beyond this it is demonstrated that the phase relation of the source term does not affect the noise spectrum. Finally, a second simulation based on the inhomogeneous Helmholtz equation indicates the minor importance of the aerodynamic mean flow on the broadband noise spectrum.

UR - http://www.scopus.com/inward/record.url?scp=85029435037&partnerID=8YFLogxK

U2 - 10.1115/GT2017-64300

DO - 10.1115/GT2017-64300

M3 - Conference contribution

AN - SCOPUS:85029435037

T3 - Proceedings of the ASME Turbo Expo

BT - Combustion, Fuels and Emissions

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017

Y2 - 26 June 2017 through 30 June 2017

ER -