Giuseppe Riccardo Fornari
A Low-fidelity Framework for Propeller Noise Prediction.
Rel. Francesco Avallone, Francesco Bellelli, Marco Picillo, Alberto Artoni. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2025
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Abstract
Due to the tightening of the regulations on emitted sound and pollution in civil aviation, new aircraft concepts were recently investigated. Well-known examples are electric Vertical Take-off and Landing (eVTOL), aircraft equipped with distributed propulsion systems, and drones. The increasing complexity of this new generation of aircraft makes the accurate prediction of the aerodynamics and aeroacoustics performance a more challenging task. Existing high-fidelity tools excel at predicting such performance, but they require a high computational cost and time. Moreover, the current low-fidelity tools often show limitations when applied to complex configurations such as the distributed propulsion systems. Then, the scientific community is looking for new tools able to support every step of the design process of the more quieter and sustainable aircraft.
In this work, the numerical framework based on the Vortex Particle Method (VPM), FLOWUnsteady, was coupled with an in-house aeroacoustics solver using the Ffowc Williams-Hawkings analogy (FWH) for tonal noise and the Amiet approach for broadband noise
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