Skip to main content
SpringerLink
Log in

Designing an Aerofoil with a Fowler Flap Using Artificial Neural Networks

  • Published:
Lobachevskii Journal of Mathematics Aims and scope Submit manuscript

Abstract

The paper considers the problem of designing an aerofoil with a Fowler flap. The proposed approach is based on the use of artificial neural networks for rapid evaluation of aerodynamic characteristics. The linear method of principal component analysis (PCA) is used to reduce the dimensionality of design parameter space and to generate ‘‘random’’ airfiols. The simulated annealing method is used to find the optimal shape of the airfoil and flap.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

REFERENCES

  1. Application of Artificial Neural Networks in Problem of Applied Aerodynamics, Collection of Articles, Ed. by Yu. N. Sviridenko, Vol. 2678 of TsAGI Works (TsAGI, Moscow, 2008) [in Russian].

  2. D. Kahaner, K. Mouler, and S. Nash, Numerical Methods and Software (Prentice Hall, Hoboken, 1988).

    Google Scholar 

  3. S. Watanabe, ‘‘Karhunen-Loéve expansion and factor analysis theoretical remarks and applications,’’ in Proceedings of the 4th Prague Conference on Information Theory (1965), pp. 635–660.

  4. A. V. Bernstein, E. V. Burnaev, E. A. Dorofeev, Yu. N. Sviridenko, and S. S. Chernova, ‘‘Cascade dimensionality reduction procedures,’’ in Proceedings of the 11th National Conference on Artificial Intelligence (2008), Vol. 1, pp. 241–250.

  5. M. Drela, XFOIL 6.9 (MIT Aero and Astro, Harold Youngren, Aerocraft, Inc).

  6. A. V. Wolkov and S. V. Lyapunov, ‘‘Numerical prediction of transonic viscous separated flow past an airfoil,’’ Theor. Comput. Fluid Dyn. 6, 1 (1994).

    Article  Google Scholar 

  7. S. V. Lyapunov and A. V. Wolkov, ‘‘Application of viscous-inviscid interaction methods for a separated flow calculation about airfoils and high-lift systems,’’ ICAS Proc. ICAS-96-1.10.2 (1996).

Download references

Funding

This research was performed with support of Russian Science Foundation (project no. 21-19-00659, https://rscf.ru/en/project/21-19-00659/).

Author information

Authors and Affiliations

  1. Central Aerohydrodynamic Institute, 140180, Zhukovsky, Moscow oblast, Russia

    A. M. Gaifullin, K. G. Khayrullin & Yu. N. Sviridenko

Authors
  1. A. M. Gaifullin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. G. Khayrullin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yu. N. Sviridenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to A. M. Gaifullin, K. G. Khayrullin or Yu. N. Sviridenko.

Additional information

(Submitted by D. A. Gubaidullin)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gaifullin, A.M., Khayrullin, K.G. & Sviridenko, Y.N. Designing an Aerofoil with a Fowler Flap Using Artificial Neural Networks. Lobachevskii J Math 42, 2118–2123 (2021). https://doi.org/10.1134/S1995080221090092

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1995080221090092

Keywords:

Search

Navigation