A design methodology for quiet and long endurance MAV rotors

Serré, Ronan; Fournier, Hugo; Moschetta, Jean‐Marc

doi:10.1177/1756829319845937

Cited by 15 publications

(10 citation statements)

References 26 publications

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“…Xfoil is based on potential theory with viscous flow models. Xfoil results agree with experiments 11,14 and for that reason, it is used to provide airfoil input data to the optimization tool. The aerodynamic model based on BEMT is fast and reliable but yields only steady loading on the blades.…”

Section: Numerical Methodology For Mav Blade Noise Reductionsupporting

confidence: 66%

“…The effect of the airfoil section optimization is not addressed here but in earlier studies, it has proven to be significant. 11,14 As a result, in the present article, an optimal blade section is chosen as basis for a chord and twist optimization according to the above mentioned objectives.…”

Section: Numerical Methodology For Mav Blade Noise Reductionmentioning

confidence: 99%

“…The tonal part is limited to the steady loading noise as inflow distortions that are due to installation effects and inflow conditions are generally difficult to determine. The present contribution introduces an original methodology 11 for reducing the noise of MAV rotors while preserving or even increasing the endurance and this approach is suited for engineering purposes, from aerodynamic and acoustic prediction to shape optimization. A similar strategy has been followed by Wisniewski et al.…”

Section: Introductionmentioning

confidence: 99%

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Towards silent micro-air vehicles: optimization of a low Reynolds number rotor in hover

Serré

Gourdain

Jardin

et al. 2019

International Journal of Aeroacoustics

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The demand in micro-air vehicles is increasing as well as their potential missions. Either for discretion in military operations or noise pollution in civilian use, noise reduction of micro-air vehicles is a goal to achieve. Aeroacoustic research has long been focusing on full scale rotorcrafts. At micro-air vehicle scales however, the hierarchization of the numerous sources of noise is not straightforward, as a consequence of the relatively low Reynolds number that ranges typically from 5000 to 100,000 and low Mach number of approximately 0.1. This knowledge, however, is crucial for aeroacoustic optimization and blade noise reduction in drones. This contribution briefly describes a low-cost, numerical methodology to achieve noise reduction by optimization of micro-air vehicle rotor blade geometry. Acoustic power measurements show a reduction of 8 dB(A). The innovative rotor blade geometry allowing this noise reduction is then analysed in detail, both experimentally and numerically with large eddy simulation using lattice Boltzmann method. Turbulence interaction noise is shown to be a major source of noise in this configuration of low Reynolds number rotor in hover, as a result of small scale turbulence and high frequency unsteady aeroadynamics impinging the blades at the leading edge.

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Section: Numerical Methodology For Mav Blade Noise Reductionsupporting

confidence: 66%

Section: Numerical Methodology For Mav Blade Noise Reductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards silent micro-air vehicles: optimization of a low Reynolds number rotor in hover

Serré

Gourdain

Jardin

et al. 2019

International Journal of Aeroacoustics

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“…The rotor plays a major role in propulsion of the rotary air vehicle, which is always important in rotor design [1][2][3][4][5][6][7][8][9]. Nano rotor is characterised by the small size and low rotational velocity causing that its operational Reynolds number is very low.…”

Section: Introductionmentioning

confidence: 99%

Bio‐inspired nano rotor investigation based on UVLM

Zhao

Liu

Sun

et al. 2020

Biosurface and Biotribology

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Nano rotor is of great value in military and civilian applications. Due to its nano size, it works at an ultra-low Reynolds number and aerodynamic performance deteriorates dramatically. The bio-inspired nano rotor is carried out to improve the rotor propulsive performance. Unsteady vortex lattice method (UVLM) model is established fully considering the influence of induced drag and wake vortex distortion on aerodynamic forces. The aim is to quickly and accurately simulate the flow field around the bio-inspired nano rotor and to efficiently perform the aerodynamic calculation to optimise the design of the bio-inspired rotor. The rotor parameters and motion parameters such as aspect ratio, taper ratio and camber are studied using UVLM. It is found that the aerodynamic performance of the rotor increased with the aspect ratio. The quality factor changes parabolically with the taper ratio and camber, and there is an optimal value for the ratio and camber, respectively. The influences of pitching angle and frequency are investigated as well. Results show that the bio-inspired motion improves the propulsion performance of nano rotor. 2 Computational methods 2.1 Aerodynamic model For the unsteady motion of the rotor, the direction of the overall axis of rotation is selected as the Z-axis direction, the span of the rotor Biosurface and Biotribology

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“…The new designed propeller reduces the aircraft noise by up to 3. and Niccolò Cusano University. The university of Southampton is working mainly on leading edge modification to reduce interaction noise [14,15], whereas main research topic of ISAE-SUPAERO is the design of a quiet propeller by means of an optimization process [16]. Instead, Niccolò Cusano University is focusing on trailing edge modification to reduce the broad-band noise component generated by propellers [17].…”

Section: Introductionmentioning

confidence: 99%

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

Candeloro¹,

Pagliaroli²,

Ragni³

et al. 2019

Preprint

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In the last decade, the drone market has grown rapidly for both civil and military purposes. Due to their versatility, drones demand is constantly increasing, with several industrial players joining the venture to transfer urban mobility to the air. This has exacerbated the problem of noise pollution, mainly due to the relatively lower altitude of these vehicles and to the proximity of their routes to extremely densely populated areas. In particular, both the aerodynamic and aeroacoustic optimization of the propulsive system and of its interaction with the airframe are key aspects of the design of aerial vehicles for the success or the failure of their mission. The industrial challenge involves finding the best performance in terms of loading, efficiency and weight, and, at the same time, the most silent configuration. For this reason, research has focused on an initial localization of the noise sources and, on further analysis, of the noise generation mechanism, focusing particularly on directivity and scattering. The aim of the present study is to review the noise source mechanisms and the state-of-the-art technologies available in literature for its suppression, focusing especially on the fluid-dynamic aspects of low Reynolds numbers of the propulsive system and on the interaction of the propulsive-system flow with the airframe.

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A design methodology for quiet and long endurance MAV rotors

Cited by 15 publications

References 26 publications

Towards silent micro-air vehicles: optimization of a low Reynolds number rotor in hover

Towards silent micro-air vehicles: optimization of a low Reynolds number rotor in hover

Bio‐inspired nano rotor investigation based on UVLM

Small-Scale Rotor Aeroacoustics for Drone Propulsion: A Review of Noise Sources and Control Strategies

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