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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 
Conference title:
Global Power and Propulsion Society (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 
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