Publication detail

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

MÜLLER, J.

Original Title

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

Type

journal article in Scopus

Language

English

Original Abstract

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).

Keywords

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

Authors

MÜLLER, J.

Released

30. 6. 2022

Publisher

Brno University of Technology

Location

Brno, Czech republic

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

28

Number

1

State

Czech Republic

Pages from

63

Pages to

67

Pages count

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"
}