Numerical Prediction of Aerodynamic Sound Radiated from a Box Fan using Computational Acoustic Analysis Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1299/jsmefed.2021.os13-07
The far-field sound generated aerodynamically from a box fan is predicted by a computational aeroacoustics (CAA). The method is composed of the large eddy simulation of the incompressible fluid flow that computes the transitional boundary layer on the fan blades and the wake and the acoustical simulation that takes the effects of the reflection of the sound radiated from the fan into account. In particular, the influence of the Sub-grid scale (SGS) model on the computed flow field and that of the position of the dipole sound source on the radiated sound are investigated. The far-field sound spectra computed by the above-mentioned method are compared with the measured ones as well as that computed by the Curle’s equation. It is found that the Dynamic Smagorinsky Model predicts the far-field sound more accurately than the Standard Smagorinsky Model. The position of the dipole source affects remarkably the far-field sound.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1299/jsmefed.2021.os13-07
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285524498
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4285524498Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1299/jsmefed.2021.os13-07Digital Object Identifier
- Title
-
Numerical Prediction of Aerodynamic Sound Radiated from a Box Fan using Computational Acoustic AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Tomoki OIKAWA, Chisachi KATO, Yasumasa SuzukiList of authors in order
- Landing page
-
https://doi.org/10.1299/jsmefed.2021.os13-07Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1299/jsmefed.2021.os13-07Direct OA link when available
- Concepts
-
Acoustics, Aerodynamics, Large eddy simulation, Aeroacoustics, Computational aeroacoustics, Acoustic source localization, Position (finance), Wake, Sound (geography), Computational fluid dynamics, Boundary layer, Near and far field, Physics, Turbulence, Mechanics, Sound pressure, Optics, Finance, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.source | 87, 142 |
| abstract_inverted_index.Dynamic | 123 |
| abstract_inverted_index.affects | 143 |
| abstract_inverted_index.effects | 50 |
| abstract_inverted_index.spectra | 97 |
| abstract_inverted_index.Standard | 134 |
| abstract_inverted_index.Sub-grid | 69 |
| abstract_inverted_index.account. | 62 |
| abstract_inverted_index.boundary | 34 |
| abstract_inverted_index.compared | 104 |
| abstract_inverted_index.composed | 19 |
| abstract_inverted_index.computed | 75, 98, 113 |
| abstract_inverted_index.computes | 31 |
| abstract_inverted_index.measured | 107 |
| abstract_inverted_index.position | 82, 138 |
| abstract_inverted_index.predicts | 126 |
| abstract_inverted_index.radiated | 57, 90 |
| abstract_inverted_index.Curle’s | 116 |
| abstract_inverted_index.equation. | 117 |
| abstract_inverted_index.far-field | 1, 95, 128, 146 |
| abstract_inverted_index.generated | 3 |
| abstract_inverted_index.influence | 66 |
| abstract_inverted_index.predicted | 10 |
| abstract_inverted_index.accurately | 131 |
| abstract_inverted_index.acoustical | 45 |
| abstract_inverted_index.reflection | 53 |
| abstract_inverted_index.remarkably | 144 |
| abstract_inverted_index.simulation | 24, 46 |
| abstract_inverted_index.Smagorinsky | 124, 135 |
| abstract_inverted_index.particular, | 64 |
| abstract_inverted_index.transitional | 33 |
| abstract_inverted_index.aeroacoustics | 14 |
| abstract_inverted_index.computational | 13 |
| abstract_inverted_index.investigated. | 93 |
| abstract_inverted_index.incompressible | 27 |
| abstract_inverted_index.above-mentioned | 101 |
| abstract_inverted_index.aerodynamically | 4 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.11798972 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |