Publication detail

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

MÜLLER, J.

English title

Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

Type

Scopus Article

Language

en

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 in English

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

Released

2022-06-30

Publisher

Brno University of Technology

Location

Brno, Czech republic

ISSN

1803-3814

Volume

28

Number

1

Pages from–to

63–67

Pages count

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"
}