Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle
The aim of this article is to propose methods for obtaining the aerodynamic characteristics of a flying object in a turbulent atmosphere. This article presents static aerodynamic characteristics of an unmanned aerial vehicle (UAV), which have been obtained during experimental examinations and during...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/19/6847 |
| _version_ | 1827722659664756736 |
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| author | Michał Frant Stanisław Kachel Wojciech Maślanka |
| author_facet | Michał Frant Stanisław Kachel Wojciech Maślanka |
| author_sort | Michał Frant |
| collection | DOAJ |
| description | The aim of this article is to propose methods for obtaining the aerodynamic characteristics of a flying object in a turbulent atmosphere. This article presents static aerodynamic characteristics of an unmanned aerial vehicle (UAV), which have been obtained during experimental examinations and during numerical calculations. The results have been compared with each other in order to validate the numerical model and methods. The method for modeling gusts using state-of-the-art CFD software (i.e., ANSYS Fluent Release 16.2) has been proposed and applied to obtain the aerodynamic characteristics of a UAV including during gusts. Two cases have been analyzed. In the first case, a downburst was modeled. In the second case, a single oblique gust was modeled (i.e., changing the angle of attack and the angle of sideslip), that had a complicated time course in regard to its velocity. Although this article is focused on the assessment of the vulnerability of a UAV model to gusts, the practical implications of the proposed methodology are applicable to a wide selection of objects, including wind turbines. |
| first_indexed | 2024-03-10T21:46:07Z |
| format | Article |
| id | doaj.art-d085fe322dd142ca98b45b3d16ad3e8f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:46:07Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d085fe322dd142ca98b45b3d16ad3e8f2023-11-19T14:19:42ZengMDPI AGEnergies1996-10732023-09-011619684710.3390/en16196847Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial VehicleMichał Frant0Stanisław Kachel1Wojciech Maślanka2Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, No. 2 Kaliskiego Street, 00-908 Warsaw, PolandFaculty of Mechatronics, Armament and Aerospace, Military University of Technology, No. 2 Kaliskiego Street, 00-908 Warsaw, PolandDoctoral School, Military University of Technology, No. 2 Kaliskiego Street, 00-908 Warsaw, PolandThe aim of this article is to propose methods for obtaining the aerodynamic characteristics of a flying object in a turbulent atmosphere. This article presents static aerodynamic characteristics of an unmanned aerial vehicle (UAV), which have been obtained during experimental examinations and during numerical calculations. The results have been compared with each other in order to validate the numerical model and methods. The method for modeling gusts using state-of-the-art CFD software (i.e., ANSYS Fluent Release 16.2) has been proposed and applied to obtain the aerodynamic characteristics of a UAV including during gusts. Two cases have been analyzed. In the first case, a downburst was modeled. In the second case, a single oblique gust was modeled (i.e., changing the angle of attack and the angle of sideslip), that had a complicated time course in regard to its velocity. Although this article is focused on the assessment of the vulnerability of a UAV model to gusts, the practical implications of the proposed methodology are applicable to a wide selection of objects, including wind turbines.https://www.mdpi.com/1996-1073/16/19/6847aerodynamicscomputational fluid dynamicsunmanned aerial vehiclegusts |
| spellingShingle | Michał Frant Stanisław Kachel Wojciech Maślanka Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle Energies aerodynamics computational fluid dynamics unmanned aerial vehicle gusts |
| title | Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle |
| title_full | Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle |
| title_fullStr | Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle |
| title_full_unstemmed | Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle |
| title_short | Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle |
| title_sort | gust modeling with state of the art computational fluid dynamics cfd software and its influence on the aerodynamic characteristics of an unmanned aerial vehicle |
| topic | aerodynamics computational fluid dynamics unmanned aerial vehicle gusts |
| url | https://www.mdpi.com/1996-1073/16/19/6847 |
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