0
research-article

Prediction of Combustion Noise in a Model Combustor Using a Network Model and a LNSE Approach

[+] Author and Article Information
Wolfram C. Ullrich

Lehrstuhl für Thermodynamik Department of Mechanical Engineering Technische Universität München 85748 Garching Germany
ullrich@td.mw.tum.de

Yasser Mahmoudi

Department of Engineering University of Cambridge Cambridge CB2 1PZ United Kingdom
sm2027@cam.ac.uk

Kilian Lackhove

Fachgebiet für Energieund Kraftwerkstechnik Technische Universität Darmstadt 64287 Darmstadt Germany
lackhove@ekt.tu-darmstadt.de

André Fischer

Rolls-Royce Deutschland Ltd & Co KG ES-2 Turbine, Combustion Subsystems 15827 Blankenfelde-Mahlow Germany
Andre.Fischer@Rolls-Royce.com

Christoph Hirsch

Lehrstuhl für Thermodynamik Department of Mechanical Engineering Technische Universität München 85748 Garching Germany
hirsch@td.mw.tum.de

Thomas Sattelmayer

Lehrstuhl für Thermodynamik Department of Mechanical Engineering Technische Universität München 85748 Garching Germany
sattelmayer@td.mw.tum.de

Ann P. Dowling

Department of Engineering University of Cambridge Cambridge CB2 1PZ United Kingdom
apd1@cam.ac.uk

Nedunchezhian Swaminathan

Department of Engineering University of Cambridge Cambridge CB2 1PZ United Kingdom
ns341@cam.ac.uk

Amsini Sadiki

Fachgebiet für Energie- und Kraftwerkstechnik Technische Universität Darmstadt 64287 Darmstadt Germany
Sadiki@ekt.tu-darmstadt.de

Max Staufer

Rolls-Royce Deutschland Ltd & Co KG ES-2 Turbine, Combustion Subsystems 15827 Blankenfelde-Mahlow Germany
Max.Staufer@Rolls-Royce.com

1Corresponding author.

ASME doi:10.1115/1.4038026 History: Received July 02, 2017; Revised August 01, 2017

Abstract

The reduction of 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.

Rolls-Royce plc
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In