Review of the Impact of Uav Airfoil Design on Aerodynamic Performance

Jinghu Yang

doi:10.47297/taposatWSP2633-456921.20250611

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Review of the Impact of Uav Airfoil Design on Aerodynamic Performance

Volume 6, Issue 11

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Review of the Impact of Uav Airfoil Design on Aerodynamic Performance
Review of the Impact of Uav Airfoil Design on Aerodynamic Performance
Department of Unmanned Aerial Vehicle Systems Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 528312, China
Vol. 6, Issue 11, Pages: 111-114(2025)
Published：30 November 2025
DOI：10.47297/taposatWSP2633-456921.20250611
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Yang Jinghu.Review of the Impact of Uav Airfoil Design on Aerodynamic Performance[J].Theory and Practice of Science and Technology,2025,06(11):111-114.
DOI：

Yang Jinghu.Review of the Impact of Uav Airfoil Design on Aerodynamic Performance[J].Theory and Practice of Science and Technology,2025,06(11):111-114. DOI： 10.47297/taposatWSP2633-456921.20250611.

摘要

Abstract

This paper systematically reviews the core issues and latest research progress in the field of unmanned aerial vehicle (UAV) airfoil design. First

the unique low Reynolds number flight environment of UAVs and its challenges to the aerodynamic performance of airfoils are explained

and the formation mechanism and influence of key flow phenomena such as laminar separation bubbles (LSBs) are analyzed in detail. Subsequently

the computational fluid dynamics (CFD) method and wind tunnel experimental technology used for airfoil analysis are discussed in depth

and their advantages and limitations are compared. On this basis

the airfoil geometry parameterization method

various optimization algorithms (such as genetic algorithm

particle swarm optimization) and advanced optimization strategies such as multi-objective and multi-point design are systematically sorted out. Finally

the main challenges faced by current research are summarized

and future development directions such as intelligent airfoils and multidisciplinary design optimization are prospected

aiming to provide comprehensive theoretical reference and technical guidance for the research and development of airfoils for high-performance UAVs.

关键词

Keywords

references

Kennedy, J., and Eberhart, R.(1995) Particle swarm optimization. In : Proc. IEEE International Conference on Neural Networks . pp. 1942–1948.

Li, S., et al. (2020) A review of airfoil design methods for unmanned aerial vehicles. Chinese Journal of Aeronautics . vol. 33, no. 5 , pp. 1089 – 1105 .

Wang, Q., et al. (2019) Effects of leading-edge radius on low-reynolds-number airfoil performance. Chinese Journal of Aeronautics . vol. 32, no. 2 , pp. 312 - 321 .

M. S. Selig, J. J. Guglielmo, A. P. Broeren, and P. Giguère. (1995) Summary of low-speed airfoil data. vol. 1. SoarTech Publications, Virginia Beach, VA.

P. B. S. Lissaman. (1983) Low-Reynolds-number airfoils. Annu. Rev. Fluid Mech. vol. 15, pp. 223 – 239 .

T. J. Mueller and J. D. DeLaurier. (2003) Aerodynamics of small vehicles. Annu. Rev. Fluid Mech. vol. 35, pp. 89 - 111 .

Airfoil Research Center of Northwestern Polytechnical University. (2018) Design and Wind Tunnel Experimental Verification of UAV-Specific Airfoils. Internal Report.

W. H. Rae Jr. and A. Pope. (1999) Low-Speed Wind Tunnel Testing , 3rd ed. Wiley, New York.

Barakos, G., et al. (2018) Supercritical airfoil design for long-endurance UAVs. AIAA Journal of Aircraft . vol. 55, no. 3 , pp. 987 - 996 .

D. H. D. Jones. (2001) A review of surrogate-assisted optimization. Progress in Aerospace Sciences .vol. 37, no. 1 , pp. 25 - 60 .

Z. Han, K. K. Choi, and J. S. Sobieski. (2013) A review of multidisciplinary design optimization in aeronautics. Journal of Aircraft . vol. 50, no. 5 , pp. 1321 – 1340 .

I. S. Jacobs and C. P. Bean. (1963) Fine particles, thin films and exchange anisotropy. In: G. T. Rado and H. Suhl, (Eds.), Magnetism , vol. III. Academic, New York. pp. 271–350.

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