Detail publikačního výsledku

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

MÜLLER, J.

Originální název

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

Anglický název

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

Druh

Článek Scopus

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).

Anglický 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

Klíčová slova v angličtině

Aerofoil Wing; Bezier-PARSEC Model; Metaheuristics; Optimisation; Swarm Algorithms; Wing; Xfoil

Autoři

MÜLLER, J.

Rok RIV

2023

Vydáno

30.06.2022

Nakladatel

Brno University of Technology

Místo

Brno, Czech republic

ISSN

1803-3814

Periodikum

Mendel Journal series

Svazek

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"
}