Detail publikace

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

MÜLLER, J.

Anglický název

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

Typ

Článek Scopus

Jazyk

en

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 anglicky

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

Vydáno

2022-06-30

Nakladatel

Brno University of Technology

Místo

Brno, Czech republic

ISSN

1803-3814

Ročník

28

Číslo

1

Strany od–do

63–67

Počet stran

5

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"
}