Auralization of novel aircraft configurations Article Swipe
A joint initiative of NLR, DLR, and TU Delft has been initiated to streamline the process of generating audible impressions of novel aircraft configurations. The integrated approach adds to the value of the individual tools and allows predicting the sound of future aircraft before they actually fly. Hence, an existing process for the aircraft design and system noise prediction at DLR has been upgraded to generate the required input data for an aircraft auralization framework developed by NLR and TU Delft. This paper presents the new process and an initial application towards the fully automated auralization of novel aircraft configurations within the conceptual aircraft design phase. Such an early auralization of the new designs enables the aircraft designer to assess the success of selected low-noise measures in an intuitive way in addition to the conventional measures, e.g. noise isocontour areas. The auralization result is able to capture all the predicted noise shielding measures used in the current application and indicates that, for an approach condition, drastically reduced ground noise exposure can be achieved.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://resolver.tudelft.nl/uuid:79d9c4d6-6422-47fb-933f-faf43f16e44a
- http://resolver.tudelft.nl/uuid:79d9c4d6-6422-47fb-933f-faf43f16e44a
- OA Status
- green
- Cited By
- 2
- References
- 13
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W1908322149
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W1908322149Canonical identifier for this work in OpenAlex
- Title
-
Auralization of novel aircraft configurationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-09-07Full publication date if available
- Authors
-
Michael Arntzen, Lothar Bertsch, Dick G. SimonsList of authors in order
- Landing page
-
https://resolver.tudelft.nl/uuid:79d9c4d6-6422-47fb-933f-faf43f16e44aPublisher landing page
- PDF URL
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https://resolver.tudelft.nl/uuid:79d9c4d6-6422-47fb-933f-faf43f16e44aDirect link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
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https://resolver.tudelft.nl/uuid:79d9c4d6-6422-47fb-933f-faf43f16e44aDirect OA link when available
- Concepts
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Aircraft noise, Process (computing), Noise (video), Computer science, Engineering, Acoustics, Systems engineering, Aerospace engineering, Simulation, Noise reduction, Artificial intelligence, Image (mathematics), Physics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2019: 2Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.value | 30 |
| abstract_inverted_index.Delft. | 80 |
| abstract_inverted_index.Hence, | 47 |
| abstract_inverted_index.allows | 36 |
| abstract_inverted_index.areas. | 139 |
| abstract_inverted_index.assess | 119 |
| abstract_inverted_index.before | 43 |
| abstract_inverted_index.design | 54, 104 |
| abstract_inverted_index.future | 41 |
| abstract_inverted_index.ground | 167 |
| abstract_inverted_index.phase. | 105 |
| abstract_inverted_index.result | 142 |
| abstract_inverted_index.system | 56 |
| abstract_inverted_index.within | 100 |
| abstract_inverted_index.audible | 18 |
| abstract_inverted_index.capture | 146 |
| abstract_inverted_index.current | 156 |
| abstract_inverted_index.designs | 113 |
| abstract_inverted_index.enables | 114 |
| abstract_inverted_index.initial | 89 |
| abstract_inverted_index.process | 15, 50, 86 |
| abstract_inverted_index.reduced | 166 |
| abstract_inverted_index.success | 121 |
| abstract_inverted_index.towards | 91 |
| abstract_inverted_index.actually | 45 |
| abstract_inverted_index.addition | 131 |
| abstract_inverted_index.aircraft | 22, 42, 53, 72, 98, 103, 116 |
| abstract_inverted_index.approach | 26, 163 |
| abstract_inverted_index.designer | 117 |
| abstract_inverted_index.existing | 49 |
| abstract_inverted_index.exposure | 169 |
| abstract_inverted_index.generate | 65 |
| abstract_inverted_index.measures | 125, 152 |
| abstract_inverted_index.presents | 83 |
| abstract_inverted_index.required | 67 |
| abstract_inverted_index.selected | 123 |
| abstract_inverted_index.upgraded | 63 |
| abstract_inverted_index.achieved. | 172 |
| abstract_inverted_index.automated | 94 |
| abstract_inverted_index.developed | 75 |
| abstract_inverted_index.framework | 74 |
| abstract_inverted_index.indicates | 159 |
| abstract_inverted_index.initiated | 11 |
| abstract_inverted_index.intuitive | 128 |
| abstract_inverted_index.low-noise | 124 |
| abstract_inverted_index.measures, | 135 |
| abstract_inverted_index.predicted | 149 |
| abstract_inverted_index.shielding | 151 |
| abstract_inverted_index.conceptual | 102 |
| abstract_inverted_index.condition, | 164 |
| abstract_inverted_index.generating | 17 |
| abstract_inverted_index.individual | 33 |
| abstract_inverted_index.initiative | 2 |
| abstract_inverted_index.integrated | 25 |
| abstract_inverted_index.isocontour | 138 |
| abstract_inverted_index.predicting | 37 |
| abstract_inverted_index.prediction | 58 |
| abstract_inverted_index.streamline | 13 |
| abstract_inverted_index.application | 90, 157 |
| abstract_inverted_index.drastically | 165 |
| abstract_inverted_index.impressions | 19 |
| abstract_inverted_index.auralization | 73, 95, 109, 141 |
| abstract_inverted_index.conventional | 134 |
| abstract_inverted_index.configurations | 99 |
| abstract_inverted_index.configurations. | 23 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.04062326 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |