Efficient low-fidelity aeroacoustic permanence calculation of propellers

Fuerkaiti, Yunusi; Grande, Edoardo; Casalino, Damiano; Avallone, Francesco; Ragni, Daniele

doi:10.1016/j.ast.2022.107438

Cited by 16 publications

(4 citation statements)

References 23 publications

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“…Future work should strengthen our hypotheses, by way of incorporating reduced-order models of the broadband noise sources in predictive tools for the tonal noise content (e.g., through implementation of a compact dipole/monopole Ffowcs-Williams and Hawking's acoustic analogy [58], and (empirical) directivity patterns of the leading-and trailingedge noise sources). When concerning human perception and annoyance, future work should explore the connection between the engineering BPFM metrics and psycho-acoustic metrics.…”

Section: Discussionmentioning

confidence: 94%

Low-Frequency Intensity Modulation of High-Frequency Rotor Noise

Baars

Ragni

2023

AIAA AVIATION 2023 Forum

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Acoustic spectra of rotor noise yield frequency-distributions of energy within pressure time series. However, they are unable to reveal phase-relations between different frequency components, while the latter play a role in low-frequency intensity modulation of higherfrequency rotor noise. Baars et al. (AIAA Paper 2021-0713) outlined a methodology to quantify inter-frequency modulation, which in the current work is applied to a comprehensive acoustic dataset of a rotor operating at low Reynolds number at advance ratios ranging from 𝐽 = 0 to 0.61. The findings strengthen earlier observations for the case of a hovering rotor, in which the modulation of the high-frequency noise is strongest at angles of 𝜃 ≈ −20 • (below the rotor plane). For the non-zero advance ratios, modulation becomes dominant in the sector −45 • ≲ 𝜃 ≲ 0 • , and is maximum in strength for the highest advance ratio tested (𝐽 = 0.61). Intensity-modulation of high-frequency noise is primarily the consequence of a far-field observer experiencing a cyclic sweep through the noise directivity patterns of the relatively directive trailing-edge/shedding noise component. This noise becomes more intense with increasing J and is associated with the broadband features of the (partially) separated flow over the rotor blades.

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Section: Discussionmentioning

confidence: 94%

Low-Frequency Intensity Modulation of High-Frequency Rotor Noise

Baars

Ragni

2023

AIAA AVIATION 2023 Forum

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“…The noise prediction UYGUR extends the conventional GBT approach to account for complex source directivity by determining ray-sphere intersection points within the RPT procedure. Noise data on the sphere are computed using high-fidelity approaches based on PowerFLOW, as discussed in section 2, or by means of low-fidelity methods [8,20]. Then, each Gaussian beam initial phase and magnitude are updated with the ones stored on the ray-sphere intersection point and propagated towards the terrain.…”

Section: Gbt Noise Propagation Multiple Reflections and Refraction In...mentioning

confidence: 99%

Electric vertical take-off and landing vehicle community noise prediction: from flow simulation to flight mission analysis

Casalino,

Romani,

Yunus

2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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This paper presents an overview of noise prediction capabilities available at Dassault Systèmes and Delft University of Technology in the field of electric vertical takeoff and landing vehicle aeroacoustics. Three main aspects are covered: (i) noise source calculation via scaleresolving high-fidelity Lattice-Boltzmann flow simulations, (ii) noise propagation calculations in urban environments via Gaussian-beam tracing techniques, (iii) and flight mission analysis via a multi-fidelity model-based system engineering framework. Key features of the different numerical simulations techniques are discussed in more detail. Finally, a vision of a combined experimental/digital eVTOL noise certification process is outlined.

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“…The GBT model was assessed in the previous work from Fuerkaiti et al [15] by comparing it against an exact solution that describes the elementary sound propagation problem in a homogeneous atmosphere over flat terrain. In this work, UYGUR's capability to include complex source directivity is verified by comparing the acoustic footprint of a twin-propeller against reference data that was generated by OptymB-FOOTPRINT tool [28]. Afterward, multiple reflections in an urban setting are validated by comparing GBT-based predictions against a full-wave solution.…”

Section: Validation and Verificationmentioning

confidence: 99%

“…The source noise hemisphere is computed with the e cient low-fidelity approach [28] for a twin-propeller configuration operating at 2km, with an advance ratio = 0.84. The distance between propellers is 2⇡ ?…”

Section: A Inclusion Of Complex Source Directivity Into Acoustic Foot...mentioning

confidence: 99%

Aircraft community noise prediction in 3D environment using Gaussian beam tracing

Fuerkaiti

Casalino

Avallone

et al. 2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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This work presents a novel noise propagation approach based on the Gaussian Beam Tracing (GBT) method that accounts for complex source directivity, weather conditions, and irregular ground topology for the evaluation of the noise footprint. The approach takes a precomputed noise sphere as input and propagates the acoustic pressure fluctuations through a moving inhomogeneous atmosphere over realistic three-dimensional (3D) terrain. Noise footprints, obtained with di erent source noise spheres and wind flow conditions, are compared. It is found that, in a quiescent atmosphere, a change in the source directivity results in a variation up to 15 dB on the acoustic footprint. In the presence of the mean flow, the variation in the noise footprint can reach up to 35 dB. The results suggest that any variation in the source directivity and wind flow can cause a significant change in the acoustic footprint predicted in 3D environments with varying terrain topology and wind flow. Doctoral candidate, Wind Energy Department,

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Efficient low-fidelity aeroacoustic permanence calculation of propellers

Cited by 16 publications

References 23 publications

Low-Frequency Intensity Modulation of High-Frequency Rotor Noise

Low-Frequency Intensity Modulation of High-Frequency Rotor Noise

Electric vertical take-off and landing vehicle community noise prediction: from flow simulation to flight mission analysis

Aircraft community noise prediction in 3D environment using Gaussian beam tracing

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