R. Zamponi
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57 records found
1
Correction
Aeroacoustic Impact of slat track Geometries on a High-Lift Wing Model (32nd AIAA/CEAS Aeroacoustics Conference, 2026)
Correction Notice The affiliation of the second author has been modified and is now: Université libre de Bruxelles (ULB)-Aéro-Thermo-Mécanique (ATM) department, currently Associated Division ESAT-INSYS (INSYS), Integrated Systems KU Leuven, Leuven, Belgium, 3001.
This work investigates the unsteady aerodynamic interaction that arises from the impingement of a propeller slipstream on a wing. To this end, an innovative measuring device for unsteady pressure is deployed, comprising a flexible printed circuit board sleeve embedded with MEMS pressure sensors and microphones. The device performance is validated against conventional measurement techniques. The wing is a benchmarked NACA 633018 airfoil-based model, and the propeller is the TUD-XPROP-S. In addition to pressure measurements, oil flow visualizations are performed to elucidate the flow pattern on the wing when the propeller operates at advance ratios of 0.8 and 1.8, and nominal blade pitch angles of 30° and 45°. The measurements reveal the formation of a laminar separation bubble on the portion of the wing not washed by the propeller slipstream. The flow is seen to remain attached on the advancing blade side, at least for the tested angles of attack. The microphone measurements capture the trace of the propeller’s tip vortices over the wing and the deformation of the slipstream over the wing. This work serves a dual purpose. Firstly, presenting an innovative measuring device for unsteady pressure, as the sensor-embedded sleeve requires minimal installation efforts and allows for a comprehensive measurement of the unsteady surface pressure field. Secondly, discussing the complex spatio temporal interaction that is formed from the impingement of a propeller slipstream onto a wing.
The growing demand for quiet unmanned aerial vehicles (UAVs) calls for noise prediction tools capable of capturing the complex aerodynamic interactions occurring in rotor-airframe integrations at low computational cost. This paper presents an analytical framework to predict the potential-interaction tonal noise generated by a propeller operating upstream of its supporting strut, a dominant contributor to the acoustic signature of small UAVs. Aerodynamic sources of loading noise from the propeller and strut are modelled using potential-flow solutions, while a hypotrochoidal conformal mapping is employed to represent the inflow distortion induced by struts with arbitrary non-circular cross-sections. The method requires as input the spanwise distribution of steady loads from an isolated propeller, estimated through an unsteady panel solver that offers a favourable trade-off between computational efficiency and simulation fidelity. Analytical predictions are validated against experimental data for struts of varying cross-section diameters and shapes, different blade numbers, and multiple far-field observer locations. The results confirm that the models accurately capture the dominant physics of propeller-strut potential interaction, predicting sound pressure levels within 3 dB for most observer angles and blade-passing-frequency harmonics. The potential of the proposed methodology to support UAV noise optimisation is demonstrated by addressing the sound radiated by propellers with struts featuring spanwise-varying cross-sections.
Acoustic annoyance is a keen factor in the social acceptance of novel urban air mobility concepts. Although regulations and certification requirements exist for such operations, they rely on measurements of the vehicle under controlled, and mostly steady, conditions. These conditions differ significantly from real envisioned operations, where turbulence from the urban environment, rapid maneuvers, system automatic control, and gusts can affect the vehicle’s noise emissions. To assess such differences, this work focuses on the study of rotors, commonly applied to urban air mobility and transport vehicles, under varying rotational speeds. An experimental campaign is carried out in the anechoic wind tunnel of the Delft University of Technology, where an unsteady rotational speed of the rotor is prescribed. Acoustic measurements are carried out along with the integral loads of the rotor. The work explores both the aerodynamic effects of such an operation and its impact on noise emissions. The final goal is to create a global picture of the relevance and physics of rotor noise under non-steady rotational speeds.
With the rapid proliferation of unmanned aerial vehicles, understanding the aeroacoustics of drones in operating conditions is essential to mitigate perceived annoyance. Performing these measurements in a large indoor test hall is particularly attractive, as it allows the execution of complex drone maneuvers under controlled atmospheric conditions, with high-precision trajectory tracking provided by motion capture systems. Yet, not being acoustically treated, these facilities present challenging reverberant conditions for acoustic measurements. This research work focuses on investigating a maneuvering quadcopter drone inside an indoor test hall and proposes a methodology based on phased-array techniques to decontaminate the recorded noise from the reverberation effects using a tailored Green's function. The results indicate that the tonal contributions of the noise spectrum are significantly influenced by drone operation and orientation, with distinct changes in the blade pass frequencies linked to the varying speeds of the front and back rotors during different flight phases. By filtering out spurious broadband noise due to sound reflections, the proposed dereverberation methodology facilitates the tracking of these tonal components, which can be more clearly visualized in the noise spectrum. The study eventually highlights the importance of analyzing the drone trajectory when interpreting the corresponding noise radiation.