Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jose Gabriel Quijada-Pioquinto"'
Publikováno v:
Drones, Vol 8, Iss 8, p 388 (2024)
A methodology for selecting rational parameters of atmospheric aircraft during the initial design stages using a differential evolutionary optimization algorithm and numerical mathematical modeling of aerodynamics problems is proposed. The technique
Externí odkaz:
https://doaj.org/article/8803bdbaefe74cdfaa1b69ebb4e93c75
Autor:
Andry Sedelnikov, Evgenii Kurkin, Jose Gabriel Quijada-Pioquinto, Oleg Lukyanov, Dmitrii Nazarov, Vladislava Chertykovtseva, Ekaterina Kurkina, Van Hung Hoang
Publikováno v:
Computation, Vol 12, Iss 3, p 52 (2024)
This paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfo
Externí odkaz:
https://doaj.org/article/d596877264054571b7b8abbdbbe531aa
Autor:
Oscar Ulises Espinosa Barcenas, Jose Gabriel Quijada Pioquinto, Ekaterina Kurkina, Oleg Lukyanov
Publikováno v:
Aerospace, Vol 10, Iss 2, p 149 (2023)
The aircraft conceptual design step requires a substantial number of aerodynamic configuration evaluations. Since the wing is the main aircraft lifting element, the focus is on solving direct and reverse design problems. The former could be solved us
Externí odkaz:
https://doaj.org/article/a4de520f9de54e7e87ea6dccfe20b522
Autor:
Oscar Ulises Espinosa Barcenas, Jose Gabriel Quijada Pioquinto, Ekaterina Kurkina, Oleg Lukyanov
Publikováno v:
Drones, Vol 6, Iss 10, p 307 (2022)
Current unmanned aerial vehicles have been designed by applying the traditional approach to aircraft conceptual design which has drawbacks in terms of the individual analysis of each discipline involved in the conception of new aircraft, the reliance
Externí odkaz:
https://doaj.org/article/7fe4153dbfae4ab6aa53348043b8c63f
Autor:
Evgenii Minaev, Jose Gabriel Quijada Pioquinto, Valentin Shakhov, Evgenii Kurkin, Oleg Lukyanov
Publikováno v:
Drones, Vol 8, Iss 10, p 570 (2024)
This article presents the development of the AZTLI-NN network and the evaluation of this network as a set of evolutionary algorithms in airfoil optimization tasks. AZTLI-NN has the characteristic of predicting the aerodynamic coefficients of the airf
Externí odkaz:
https://doaj.org/article/169f930ca409495f9d83b0a851202622