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- Authors:
- Carlos Hein, Markus; Reissmann, Maximilian; Scheibel, Julian; Stößel, Marcel; Sandberg, Richard; Kožulović, Dragan
- Document type:
- Konferenzbeitrag / Conference Paper
- Title:
- Numerical Simulation of a Highly Bent Intake Duct using Machine Learning Algorithms to close the RANS Equations
- Title of conference publication:
- Proceedings of Global Power and Propulsion Society Chania 2024
- Organizer (entity):
- Global Power and Propulsion Society
- Conference title:
- Global Power and Propulsion Technical Conference (2024, Chania)
- Venue:
- Chania
- Year of conference:
- 2024
- Date of conference beginning:
- 04.09.2024
- Date of conference ending:
- 06.09.2024
- Year:
- 2024
- Language:
- Englisch
- ISSN:
- 2504-4400
- Article ID:
- GPPS-TC-2024-0083
- DOI:
- 10.33737/gpps24-tc-083
- URL:
- https://doi.org/10.33737/gpps24-tc-083
- Department:
- Fakultät für Luft- und Raumfahrttechnik
- Institute:
- LRT 12 - Institut für Strahlantriebe
- Chair:
- Kozulovic, Dragan
- Open Access yes or no?:
- Ja / Yes
- Type of OA license:
- CC BY-NC 4.0
- Licence URL:
- https://creativecommons.org/licenses/by-nc/4.0/deed.de
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