Contribution à la prévision du bruit tonal des machines tournantes subsoniques : couplage des simulations numériques et des modèles analytiques avec les analogies acoustiques

Abstract : The design of fan systems at Valeo Thermal Systems and the prediction of their aerodynamic performances rely mainly on virtual development methods, i.e. computer-aided-design and computational fluid dynamics. Within this context, this dissertation develops a methodology for predicting and minimizing the tonal noise of a fan system. The hybrid approach is used, thus separating noise generation and propagation. The free-field propagation is computed via an integral formulation of the Ffowcs-Williams and Hawkings analogy. In a first step, the source terms located at the surfaces of the rotor and the stator are extracted from an unsteady numerical simulation. The compactness of the blade and the influence of the acoustic mesh on the prediction are then investigated. Finally, the computational results are compared to the experimental ones. In a second step, the acoustic sources at the surface of the stator are computed with Sears' model. Its inputs are extracted from a steady simulation of the whole rotor. Before proceeding to the acoustic prediction, the influence of the turbulence model on the final results is assessed via a comparison between LES and RANS simulations of the flow around airfoils. Finally, minimizing tonal noise is formulated as an optimization problem. The shape of a stator-blade is parametrized and the optimization is conducted with a genetic algorithm. The resulting stator is less noisy and adapted to the flow downstream of the studied rotor.
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Elias Tannoury. Contribution à la prévision du bruit tonal des machines tournantes subsoniques : couplage des simulations numériques et des modèles analytiques avec les analogies acoustiques. Autre. Ecole nationale supérieure d'arts et métiers - ENSAM, 2013. Français. ⟨NNT : 2013ENAM0022⟩. ⟨pastel-00935537⟩

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