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MÜLLER, J.
Originální název
Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
Advanced optimisation of the aerofoil wing of a general aircraft is the main subject of this paper. Meta-heuristic optimisation techniques, especially swarm algorithms, were used. Subsequently, a new variant denoted as aerofoil particle swarm optimisation (aPSO) was developed from the original particle swarm optimisation (PSO). A parametric model based on B-spline was used to optimise the initial aerofoil. The simulation software Xfoil was calculating basic aerodynamic features (lift, drag, moment).
Klíčová slova
Aerofoil Wing; Bezier-PARSEC Model; Metaheuristics; Optimisation; Swarm Algorithms; Wing; Xfoil
Autoři
Vydáno
30. 6. 2022
Nakladatel
Brno University of Technology
Místo
Brno, Czech republic
ISSN
1803-3814
Periodikum
Mendel Journal series
Ročník
28
Číslo
1
Stát
Česká republika
Strany od
63
Strany do
67
Strany počet
5
URL
https://mendel-journal.org/index.php/mendel/article/view/187
BibTex
@article{BUT182804, author="Jan {Müller}", title="Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation", journal="Mendel Journal series", year="2022", volume="28", number="1", pages="63--67", doi="10.13164/mendel.2022.1.063", issn="1803-3814", url="https://mendel-journal.org/index.php/mendel/article/view/187" }