PhD - Inverse modal identification of free-field radiated noise from unducted rotor-stator stages: from laboratory arrays to Open Fan flight tests

Centrale Innovation·Ecully, Auvergne-Rhône-Alpes, France

In short

→Investigar y modelar el ruido radiado por motores Open Fan sin naceles usando análisis modal inverso en campo libre.
→Aplicar métodos matemáticos y bayesianos para reconstruir fuentes de ruido a partir de datos de micrófonos en el fuselaje durante vuelos reales.
→Proyecto europeo de aviones más sostenibles; itinerario científico desde laboratorio hasta pruebas en vuelo con avión A380.

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What they ask for

✓Doctorado en acústica, aeroacústica o procesamiento de señales
✓Experiencia en métodos de arrays y análisis modal
✓Habilidades en resolución de problemas inversos
✓Conocimiento de métodos bayesianos
✓Programación científica en Python o Matlab
✓Interés en aeroacústica de turbinas sin naceles

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PythonMatlabBayesian inverse approachModal analysisArray methodsBessel functionsSpherical harmonicsCAA computationsNear-field pressure dataDirectivity measurements

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Context: This postdoctoral position is part of the European project TAKE-OFF (Clean Aviation programme), which is preparing the full-scale flight demonstration of Safran Aircraft Engines’ RISE Open Fan engine on the Airbus A380 flying testbed, with the aim of reducing fuel consumption by 30 % and entering service around 2035. Without a nacelle, the engine noise sources radiate directly into free field. LMFA (École Centrale de Lyon), in collaboration with LVA (INSA Lyon), is in charge of analysing the near-field pressure data acquired in flight by microphones installed on the fuselage, in order to reconstruct the engine noise sources. Objective: To extend the modal analysis methods developed at LMFA for ducted engines [1] to unducted fans. For the first time, modal analysis will be applied to microphones located in an unconfined medium and to modes radiating under free-field conditions, and design criteria specific to this configuration will be established (spatial sampling, resolution, array-to-rotor distance relative to the array size). Description: Task 1 – Model and inverse problem. Build a set of eigenfunctions describing the radiation of an unducted rotor-stator stage (spinning modes weighted by Bessel functions [2], spherical harmonics, etc.) and embed it in a Bayesian inverse approach [1] to estimate the modal amplitudes of tonal and broadband components. Flow and fuselage effects may be accounted for through CAA computations. Task 2 – Validation on the MAMBO database. The developments will be tested on an unducted propeller + stator configuration recently studied at LMFA (MAMBO project), instrumented with three arrays: a half-cylindrical array, a planar array on the side (representative of fuselage instrumentation) and a motorised arc array measuring directivity, which will serve as an independent reference. This study will assess the robustness of the method and define array design criteria. Task 3 – Application to flight tests. The methodology will be applied to the near-field pressure data acquired on the fuselage during the TAKE-OFF flight test campaigns, in order to identify the modal content of the noise radiated by the Open Fan engine and to infer information on its generation mechanisms. Starting date : 01/01/2027 Profile and application: PhD in acoustics, aeroacoustics or signal processing; skills in array methods, inverse problems and/or modal analysis; scientific programming (Python/Matlab). References: [1] Pereira, A. , 2022, Modal analysis of in-duct fan broadband noise via an iterative Bayesian inverse approach, J. Sound Vib. 2021.116633. [2] Roger, M. , 2019, Near-and-far field modeling of advanced tail-rotor noise using source-mode expansions, J. Sound Vib. , 453, 328-354.

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