International Scientific Journal


A new technology of the optimal design of aerodynamic configurations based on a new generation software product is used for aerodynamic design of a 3-D wing of the middle class unmanned aerial vehicle. The optimal shape of the wing, which is characterized by minimum total drag at a fixed lift coefficient and corresponding to the specified geometric and aerodynamic constraints, is determined on the basis of the global search method and numerical solutions of the complete Navier-Stokes equations. It is shown that the proposed approach provides reduction in a wing drag in the cruise flight zone and significantly reduces the material and time costs for aerodynamic aircraft design. Optimal wing has a significantly lower drag at the main design point, and it can be used during cruising and in its vicinity. Optimization allows improving of the glider wing quality. Optimal wing is distinguished by better aerodynamic characteristics in the wide vicinity of design point in terms of the Mach numbers and lift coefficient. Such wing is resistant to the small changes in the flight conditions and it meets all given geometric and aerodynamic constraints.
PAPER REVISED: 2018-11-02
PAPER ACCEPTED: 2018-11-27
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2019, VOLUME 23, ISSUE Supplement 2, PAGES [S599 - S605]
  1. Tennekes, H., The Simple Science of Flight: From Insects to Jumbo Jets, MIT Press, Cambridge, Mass., USA, 1997
  2. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, New York, USA, 1992
  3. Epstein, B, et al., An Accurate ENO Driven Multigrid Method Applied to 3-D Turbulent Transonic Flows, Journal of Computational Physics, 168 (2001), 2, pp. 316-328
  4. Jameson, A., Aerodynamic Design via Control Theory, Journal of Scientific Computing, 3 (1988), 3, pp. 233-260
  5. Jameson, A., Optimum Aerodynamic Design Using Control Theory, CFD Review, Wiley, New York, USA, 1995, pp. 495-528
  6. Vicini, A., Quagliarella, D., Inverse and Direct Airfoil Design Using a Multiobjective Genetic Algorithm, AIAA Journal, 35 (1997), 9, pp. 1499-1505
  7. Obayashi, S., et al., Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform, Journal of Aircraft, 34 (1997), 5, pp. 690-693
  8. Hajela, P., Nongradient Methods in Multidisciplinary Design Optimization—Status and Potential, Journal of Aircraft, 36 (1999), 1, pp. 255-265
  9. Mohammadi, B., Pironneau, O., Applied Shape Optimization for Fluids, Oxford Univ. Press, Oxford, UK, 2001
  10. Nadarajah, S. K., Jameson, A., Studies of the Continuous and Discrete Adjoint Approaches to Viscous Automatic Aerodynamic Shape Optimization, AIAA Paper 2001-2530, 2001
  11. Ivanov, T. D., et al., Influence of Selected Turbulence Model on the Optimization of a Class-shape Transformation Parameterized Airfoil, Thermal Science, 21 (2017), Suppl. 3, pp. S737-S744
  12. Qiu, L., et al., Airfoil Profile Optimization of an Air Suction Equipment with an Air Duct, Thermal Science, 19 (2015), 4, pp. 1217-1222
  13. Orlov, S. A., et al., Effective Implementation of Nonlinear Constraints in Optimization of Three-Dimensional Transonic Wings, Vestnik Tomskogo Gosudarstvennogo Universiteta, Matematika i Mekhanika, 33 (2015), 6, pp. 72-81
  14. Peigin, S. V., et al., An Optimal Design Technology for Aerodynamic Configurations Based on the Numerical Solutions of the Full Navier - Stokes Equations, Vestnik Tomskogo Gosudarstvennogo Universiteta, Matematika i Mekhanika, 20 (2017), pp. 90-98
  15. Peigin, S. V., et al., An Optimal Aerodynamic Design for the Wing of a Wide-Body Long-Range Aircraft, Vestnik Tomskogo Gosudarstvennogo Universiteta, Matematika i Mekhanika, 51 (2018), 1, pp. 117-129

© 2019 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence