Aeroacoustic wind tunnel tests

Lylloff, Oliver

doi:10.11581/dtu:00000102

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Noise Reduction Comparison With Different Serrations1

A the Plct At Dtu1

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2022

2024

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“…The latter had convergence issues at low frequencies for the serrated cases, where the signal-to-noise ratio is lower. The CBF results show increased levels with respect to the Clean-SC equivalent [17], but this is acceptable in this section since the focus is on Δ𝑆𝑃𝐿 1/3 .…”

Section: Noise Reduction Comparison With Different Serrationsmentioning

confidence: 89%

See 1 more Smart Citation

Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

Suryadi

Herr

2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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Section: Noise Reduction Comparison With Different Serrationsmentioning

confidence: 89%

“…The measurements have been post-processed using the deconvolution algorithm CLEAN based on spatial coherence, CLEAN-SC [16]. More information about the set-up and the post-processing may be found in O. Lylloff's PhD [17].…”

Section: A the Plct At Dtumentioning

confidence: 99%

Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

Suryadi

Herr

2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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AeroAcoustics.jl: A Julia package for aeroacoustics

Lylloff

2024

JOSS

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Aeroacoustics is an interdisciplinary research field situated between aerodynamics and acoustics. It focuses on understanding the sound generated by the motion of air around solid bodies and plays an important role in research areas such as automotive, aerospace, and wind energy sciences (Allen et al., 2002). However, the airflow responsible for sound generation typically generates unwanted background noise, which masks the true acoustic emission of the test item from measurement equipment. Therefore, isolating the sound emitted by the test item becomes essential to obtain reliable evaluations, which is pivotal in the development of noise-reducing technologies for cars, airplanes, and wind turbines. One common solution strategy involves the use of acoustic images computed using microphone arrays. The acoustic images help visualize and quantify the spatial distribution of sound across the test item, and enables precise assessment of acoustic emissions without contamination from background noise (Glegg & Devenport, 2017).AeroAcoustics.jl is a Julia (Bezanson et al., 2017) package for working with microphone arrays and acoustic imaging techniques. Methods for computing acoustic images often share the same codebase and utility functions, making them suitable candidates for a modular software package. It is the intention, that AeroAcoustics.jl can serve as a foundation for benchmarking existing methods and developing new ones within the aeroacoustics community. In addition to that, AeroAcoustics.jl is also a good candidate for teaching and entry-level programmers due to its simple API.

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Aeroacoustic wind tunnel tests

Cited by 2 publications

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Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

AeroAcoustics.jl: A Julia package for aeroacoustics

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Aeroacoustic wind tunnel tests

Cited by 2 publications

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Benchmarking of the NACA 633-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

Benchmarking of the NACA 633-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

AeroAcoustics.jl: A Julia package for aeroacoustics

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Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39

Benchmarking of the NACA 63₃-018 Trailing-Edge Noise in a Broad Reynolds Number Range as Part of the IEA Task 39