Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.1047
Publisher URL: https://publikationen.dglr.de/?tx_dglrpublications_pi1[document_id]=610470
Title: Automated design process of a fixed wing UAV maximizing endurance
Language: English
Authors: Sahraoui, Mohamed 
Boutemedjet, Abdelwahid 
Mekadem, Mahmoud 
Scholz, Dieter  
Keywords: aviation; aeronautics; aerodynamics; aircraft; UAV; lift; lift distribution; drag; endurance; range; altitude; wing; engine; payload; camera; sensor; avionics; wing loading; power-to-mass ratio; mass; weight; battery; optimization; OpenVSP; VSPAERO; VLM; XFOIL
Issue Date: 19-Sep-2023
Conference: Deutscher Luft- und Raumfahrtkongress 2023 
Abstract: 
In this study, we aim to reduce the time of the wing design and the optimization of the performances of unmanned aerial vehicles during the preliminary design through an automated framework using only open-source software (OpenVSP: VSPAERO with Parasite Drag Tool, and Python).
URI: http://hdl.handle.net/20.500.12738/14234
DOI: 10.48441/4427.1047
Review status: Currently there is no review planned for this version
Institute: Forschungsgruppe Flugzeugentwurf und -systeme (AERO) 
Department Fahrzeugtechnik und Flugzeugbau 
Fakultät Technik und Informatik 
Type: Poster
Additional note: SAHRAOUI, Mohamed, BOUTEMEDJET, Abdelwahid, MEKADEM, Mahmoud, SCHOLZ, Dieter, 2023. Automated Design Process of a Fixed Wing UAV Maximizing Endurance. Poster. Deutscher Luft- und Raumfahrtkongress 2023 (Stuttgart, 19.-21.09.2023).
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