Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hasan Karali"'
Publikováno v:
Aerospace, Vol 11, Iss 8, p 669 (2024)
The conceptual design of unmanned aerial vehicles (UAVs) presents significant multidisciplinary challenges requiring the optimization of aerodynamic and structural performance, stealth, and propulsion efficiency. This work addresses these challenges
Externí odkaz:
https://doaj.org/article/79b27f9d0d5a4cd0b10e7c4095acecdb
In this study, an intelligent wargaming approach is proposed to evaluate the effectiveness of a military operation plan in terms of operational success and survivability of the assets. The proposed application is developed based on classical military
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e0f3e500e387f482984b4fbb5cef52b
https://dspace.lib.cranfield.ac.uk/handle/1826/19164
https://dspace.lib.cranfield.ac.uk/handle/1826/19164
Publikováno v:
AIAA SCITECH 2023 Forum.
The next generation low-cost modular unmanned combat aerial vehicles (UCAVs) provide the opportunity to implement innovative solutions to complex tasks, while also bringing new challenges in design, production, and certification subjects. Solving the
Publikováno v:
AIAA Scitech 2021 Forum.
In this paper, we present a brief review of the state of the art physics informed deep learning methodology and examine its applicability, limits, advantages, and disadvantages via several applications. The main advantage of this method is that it ca
In this paper, we present a deep learning based surrogate model to determine non-linear aerodynamic characteristics of UAVs. The main advantage of this model is that it can predict the aerodynamic properties of the configurations very quickly by usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa3a4390b349c623ae4e544467f74b0d
https://dspace.lib.cranfield.ac.uk/handle/1826/15239
https://dspace.lib.cranfield.ac.uk/handle/1826/15239
Publikováno v:
AIAA Scitech 2019 Forum.
Publikováno v:
International Journal of Micro Air Vehicles. 13:175682932110168
In this work, a computationally efficient and high-precision nonlinear aerodynamic configuration analysis method is presented for both design optimization and mathematical modeling of small unmanned aerial vehicles. First, we have developed a novel n