Validation of improved turbomachinery noise prediction models and development of novel design methods for fan stages with reduced broadband noise

Informazioni relative al progetto

TurboNoiseBB

ID dell’accordo di sovvenzione: 690714

DOI

10.3030/690714

Progetto chiuso

Data della firma CE 10 Giugno 2016

Data di avvio 1 Settembre 2016

Data di completamento 31 Agosto 2020

Finanziato da

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Costo totale

€ 6 702 851,25

Contributo UE

€ 6 702 851,25

Coordinato da

DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Websites, patent fillings, videos etc. (1)

TurboNoiseBB internet presence (website)

The website to present the project to the community.

Pubblicazioni

Peer reviewed articles (5)

Aeroacoustics research in Europe: The CEAS-ASC report on 2019 highlights

Autori: Roberto Camussi, Gareth J. Bennett
Pubblicato in: Journal of Sound and Vibration, Numero 484, 2020, Pagina/e 115540, ISSN 0022-460X
Editore: Academic Press
DOI: 10.1016/j.jsv.2020.115540

Influence of Wake and Background Turbulence on Predicted Fan Broadband Noise

Autori: Carolin A. Kissner, Sébastien Guérin
Pubblicato in: AIAA Journal, Numero 58/2, 2020, Pagina/e 659-672, ISSN 0001-1452
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/1.j058148

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction—Part I—Influence of the RANS Simulation

Autori: Carolin Kissner, Sébastien Guérin, Pascal Seeler, Mattias Billson, Paruchuri Chaitanya, Pedro Carrasco Laraña, Hélène de Laborderie, Benjamin François, Katharina Lefarth, Danny Lewis, Gonzalo Montero Villar, Thomas Nodé-Langlois
Pubblicato in: Acoustics, Numero 2/3, 2020, Pagina/e 539-578, ISSN 2624-599X
Editore: MDPI
DOI: 10.3390/acoustics2030029

ACAT1 Benchmark of RANS-Informed Analytical Methods for Fan Broadband Noise Prediction: Part II—Influence of the Acoustic Models

Autori: Sébastien Guérin, Carolin Kissner, Pascal Seeler, Ricardo Blázquez, Pedro Carrasco Laraña, Hélène de Laborderie, Danny Lewis, Paruchuri Chaitanya, Cyril Polacsek, Johan Thisse
Pubblicato in: Acoustics, Numero 2/3, 2020, Pagina/e 617-649, ISSN 2624-599X
Editore: MDPI
DOI: 10.3390/acoustics2030033

Aeroacoustic design and broadband noise predictions of a fan stage with serrated outlet guide vanes

Autori: C. Polacsek, A. Cader, M. Buszyk, R. Barrier, F. Gea-Aguilera, H. Posson
Pubblicato in: Physics of Fluids, Numero 32/10, 2020, Pagina/e 107107, ISSN 1070-6631
Editore: American Institute of Physics
DOI: 10.1063/5.0020190

Conference proceedings (16)

Design aéroacoustique et prévision du bruit à large bande d'un étage de turboréacteur avec des aubes stator ondulées

Autori: Polacsek, Cyril; Cader, Adil; Barrier, Raphaël; De Laborderie, Hélène; Gea-Aguilera, Fernando
Pubblicato in: ICSV26, Jul 2019, MONTREAL, Canada, Numero 1, 2019
Editore: Academic Press

A Frequency Domain Model for Turbine Interaction Broadband Noise: Comparison with Measurements

Autori: Pedro Carrasco Laraña, Adolfo Serrano
Pubblicato in: 2018 AIAA/CEAS Aeroacoustics Conference, 2018, ISBN 978-1-62410-560-9
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2018-3917

Low-noise OGV design for broadband noise using bayesian optimisation

Autori: Chaitanya C. Paruchuri, Pratibha Vellanki, Anuroopa Kalyan, John Coupland, Phillip Joseph
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2489

On the Use of RANS-informed Analytical Models to Perform Broadband Rotor-Stator Interaction Noise Predictions

Autori: Danny Lewis, Stéphane Moreau, Marc C. Jacob
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2667

Radial mode breakdown of the ACAT1 fan broadband noise generation in the bypass duct using a sparse sensor array

Autori: Ulf Tapken, Maximilian Behn, Mirko Spitalny, Benjamin Pardowitz
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2525

Prediction of turbulence-cascade interaction noise using modal approach

Autori: Chaitanya Paruchuri, Phillip Joseph, Yijun Mao, Alexander G. Wilson
Pubblicato in: 2018 AIAA/CEAS Aeroacoustics Conference, 2018, ISBN 978-1-62410-560-9
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2018-3781

Instantaneous flow field measurements in the interstage section between a fan and the outlet guiding vanes at different axial positions

Autori: Robert K.J. Meyer - German Aerospace Center (DLR) Sebastian Hakansson - German Aerospace Center (DLR) Wolfram Hage - German Aerospace Center (DLR) Lars Enghardt - German Aerospace Center (DLR)
Pubblicato in: 2019
Editore: European turbomachinery society

Efficient Fan Broadband Noise Prediction Using Navier-Stokes Linearized Analysis

Autori: Ricardo Blazquez Navarro, Roque Corral
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2624

Investigation of Sound Generation and Transmission Effects Through the ACAT1 Fan Stage using Compressed Sensing-based Mode Analysis

Autori: Maximilian Behn, Ulf Tapken
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2502

Assessment of a 2D Synthetic Turbulence Method for Predicting the ACAT1 Fan's Broadband Noise

Autori: Carolin A. Kissner, Sebastien Guerin, Maximilian Behn
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2501

Numerical prediction of rotor-stator interaction noise using 3D CAA with synthetic turbulence injection

Autori: Adil Cader, Cyril Polacsek, Thomas Le Garrec, Raphaël Barrier, François Benjamin, M. C. Jacob
Pubblicato in: 2018 AIAA/CEAS Aeroacoustics Conference, 2018, ISBN 978-1-62410-560-9
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2018-4190

Noise prediction of the ACAT1 fan with a RANS-informed analytical method: success and challenge

Autori: Sebastien Guerin, Carolin A. Kissner, Bojan Kajasa, Robert Jaron, Maximilian Behn, Benjamin Pardowitz, Ulf Tapken, Sebastian Hakansson, Robert Meyer, Lars Enghardt
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2500

Phased array beamforming to identify broadband noise sources in the interstage section of a turbofan engine

Autori: Harry Brouwer, Pieter Sijtsma
Pubblicato in: 25th AIAA/CEAS Aeroacoustics Conference, 2019, ISBN 978-1-62410-588-3
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-2669

Broadband Noise Predictions on the ACAT1 Fan Stage Using Large Eddy Simulations and Analytical Models

Autori: Danny Lewis, Stephane Moreau, Marc C. Jacob
Pubblicato in: AIAA AVIATION 2020 FORUM, 2020, ISBN 978-1-62410-598-2
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2020-2519

Zonal Detached Eddy Simulation of the Fan-OGV Stage of a Modern Turbofan Engine

Autori: Benjamin François, Raphaël Barrier, Cyril Polacsek
Pubblicato in: Volume 2A: Turbomachinery, 2020, ISBN 978-0-7918-8406-5
Editore: American Society of Mechanical Engineers
DOI: 10.1115/gt2020-14239

Fan Broadband Noise Prediction for the ACAT1 Fan Using a Three-Dimensional Random Particle Mesh Method

Autori: Carolin A. Kissner, Sébastien Guérin
Pubblicato in: AIAA AVIATION 2020 FORUM, 2020, ISBN 978-1-62410-598-2
Editore: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2020-2520