Aerodynamic and Aeroacoustic Study of Low Reynolds Number Rotors: Influence of Pitch Angle, Airfoil Camber and Thickness

Volsi, Pietro Li; Jardin, Thierry; Gojon, Romain; Gomez-Ariza, David; Moschetta, Jean‐Marc; Parisot-Dupuis, Hélène; Brogna, Gianluigi

doi:10.2514/6.2022-3109

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…To capture the tonal noise emitted by MAV rotors, Farassat's formulation-1A of the Ffowcs Williams and Hawkings acoustic analogy has been implemented in the NVLM code on both unsteady and steady solvers [20,79]. The considered acoustic sources are as follows:…”

Section: Aeroacoustics Solver: Farassat Formulation-1amentioning

confidence: 99%

“…Notably, the formulation-1A has been used extensively to predict the tonal noise emitted by rotary wings, such as helicopter rotors and aircraft propellers. During the last decade, this methodology has also demonstrated its effectiveness in predicting the tonal noise from MAV rotors, as evidenced by multiple studies [19,20].…”

Section: Introductionmentioning

confidence: 98%

“…Since BEMT simulations (used in [67][68][69]) do not predict the aerodynamic blade vortex interaction and the blade-wake interaction, the need for more accurate optimizations has pushed the authors to perform multi-objective optimizations using middle fidelity, but with a relatively fast, steady non-linear vortex lattice method (S-NVLM) code [20,73] coupled to a Farassat formulation-1A code. Furthermore, the optimization process includes manufacturing and operational constraints which render present results more useful in practice.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of MAV Rotors Optimized for Low Noise and Aerodynamic Efficiency with Operational Constraints

Li Volsi,

Brogna,

Gojon

et al. 2024

Fluids

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The rapid growth of drone use in urban areas has prompted authorities to review airspace regulations, forcing drone manufacturers to anticipate and reduce the noise emissions during the design stage. Additionally, micro air vehicles (MAVs) are designed to be aerodynamically efficient, allowing them to fly farther, longer and safer. In this study, a steady aerodynamic code and an acoustic propagator based on the non-linear vortex lattice method (NVLM) and Farassat’s formulation-1A of the Ffowcs Williams and Hawkings (FW-H) acoustic analogy, respectively, are coupled with pymoo, a python-based optimization framework. This tool is used to perform a multi-objective (noise and aerodynamic efficiency) optimization of a 20 cm diameter two-bladed rotor under hovering conditions. From the set of optimized results, (i.e., the Pareto front), three different rotors are 3D-printed using a stereolithography (SLA) technique and tested in an anechoic room. Here, an array of far-field microphones captures the acoustic radiation and directivity of the rotor, while a balance measures the aerodynamic performance. Both the aerodynamic and aeroacoustic performance of the three different rotors, in line with what has been predicted by the numerical codes, are compared and guidelines for the design of aerodynamically and aeroacoustically efficient MAV rotors are extracted.

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Section: Aeroacoustics Solver: Farassat Formulation-1amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%