Aeroacoustic radiation of a low Reynolds number two-bladed rotor in interaction with a cylindrical beam

Gojon, Romain; Doué, Nicolas; Parisot-Dupuis, Hélène; Mellot, Bertrand; Jardin, Thierry

doi:10.2514/6.2022-2972

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…The best geometries resulting from the optimization are 3D-printed using stereo-lithography techniques at ISAE-SUPAERO and tested in the anechoic room to verify the performance of the optimized geometries. The starting geometry of the following optimization is the 20 cm diameter rotor previously tested in the ISAE-SUPAERO anechoic room [9]. The rotor diameter was appositely chosen because it is the maximum diameter that could be 3D-printed in one piece with the available 3D-printer.…”

Section: Optimization Setupmentioning

confidence: 99%

“…Accurately modeling all the aeroacoustic noise sources with methods that are both rapid and reliable remains a complex task, reflecting the intricate nature of the airflow dynamics associated with MAVs. The close proximity of the fast rotating rotors to each other [8] and to the body [9][10][11] generates highly coupled aerodynamic and aeroacoustic interactions that scatter an unpleasant noise to human ears. Shaffer et al [12] suggested that quadcopter drone noise is more annoying than road traffic and aircraft noise because of its particular tonal and high-frequencies broadband noise components.…”

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: Optimization Setupmentioning

confidence: 99%