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Broadband noise prediction of a counter rotating open rotor based on LES simulation with phase-lagged assumption

Fiore, Maxime and Daroukh, Majd and Montagnac, Marc Broadband noise prediction of a counter rotating open rotor based on LES simulation with phase-lagged assumption. (2021) Journal of Sound and Vibration, 514. 116420. ISSN 0022-460X

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Official URL: https://doi.org/10.1016/j.jsv.2021.116420


This paper presents the broadband noise analysis of a Counter Rotating Open Rotor (CROR) configuration. The numerical study is based on a hybrid approach: a Large Eddy Simulation (LES) code solves the near-flow field of the CROR configuration and the near-to-far-field propagation is then predicted by a Ffowcs Williams-Hawkings analogy either based on a solid or porous formulation. The LES solver uses a phase-lagged assumption with a proper orthogonal decomposition for the data storage. The numerical approach is validated against wind tunnel experimental data of a CROR configuration (AI-PX7) at three different operating points focused on the broadband noise. The analysis of the numerical simulations shows the predominant effect of the rear rotor suction side on the radiated broadband noise with an increasing contribution with span location. This source is related to the impingement of front rotor wakes and the development of leading edge vortices that induce large pressure fluctuations close to the leading edge on the suction side.

Item Type:Article
HAL Id:hal-03339106
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
Other partners > Centre Européen de Recherche et Formation Avancées en Calcul Scientifique - CERFACS (FRANCE)
Other partners > Institut national des sciences de l'Univers - INSU (FRANCE)
Laboratory name:
Deposited On:09 Sep 2021 10:05

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