Prediction of Combustion Noise in a Model Combustor Using a Network Model and a LNSE Approach
| Autor: | Christoph Hirsch, Ann P. Dowling, Nedunchezhian Swaminathan, Wolfram C. Ullrich, André Fischer, Amsini Sadiki, Kilian Lackhove, Yasser Mahmoudi, Thomas Sattelmayer, Max Staufer |
|---|---|
| Přispěvatelé: | Swaminathan, Swami [0000-0003-3338-0698], Apollo - University of Cambridge Repository |
| Rok vydání: | 2018 |
| Předmět: |
4007 Control Engineering
Mechatronics and Robotics thermoacoustics Energy Engineering and Power Technology Aerospace Engineering computational fluid dynamics 02 engineering and technology Computational fluid dynamics 01 natural sciences 010305 fluids & plasmas Physics::Fluid Dynamics symbols.namesake 0203 mechanical engineering 4012 Fluid Mechanics and Thermal Engineering 0103 physical sciences finite element methods Applied mathematics combusters Aerospace engineering Navier–Stokes equations 40 Engineering Physics 020301 aerospace & aeronautics business.industry Mechanical Engineering Aerodynamics Solver Euler equations 4017 Mechanical Engineering Noise Fuel Technology Nuclear Energy and Engineering symbols 4002 Automotive Engineering Computational aeroacoustics acoustic emission business Reynolds-averaged Navier–Stokes equations |
| Zdroj: | Ullrich, W C, Mahmoudi Larimi, Y, Lackhove, K, Fischer, A, Hirsch, C, Sattelmayer, T, Dowling, A P, Swaminathan, N, Sadiki, A & Staufer, M 2018, ' Prediction of Combustion Noise in a Model Combustor Using a Network Model and a LNSE Approach ', Journal of Engineering for Gas Turbines and Power, vol. 140, no. 4, 041501 . https://doi.org/10.1115/1.4038026 |
| DOI: | 10.1115/1.4038026 |
| Popis: | Copyright © 2018 by Rolls-Royce plc. 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 low-order thermo-acoustic network (LOTAN) solver and a hybrid computational fluid dynamics/ computational aeroacoustics 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 Reynolds-averaged Navier-Stokes (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 post-processing of incompressible and compressible large eddy simulations (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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|