Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series
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Keywords

Taylor series
Optimal design
Factorial design
Sensitivity analysis
Finite-difference method

How to Cite

Luo, C., Han, Z., & Luo, O. (2025). Sensitivity Analysis of a Supersonic Airfoil’s Optimal Design Using Taylor Series. Journal of Basic & Applied Sciences, 21, 88–100. https://doi.org/10.29169/1927-5129.2025.21.10

Abstract

In this study, we conducted a sensitivity analysis to determine the optimal design of a supersonic airfoil. The design includes four independent variables: angle of attack, thickness of the upper surface, and the locations of the upper and lower surfaces' maximum thicknesses. The output is the maximum lift-to-wave drag ratio. First, we used a first-order Taylor approximation to analyze the impact of each design variable on the output. The first three variables have similar effects, while the fourth has less influence. Next, we applied a second-order Taylor approximation to further explore how each variable affects the output and the response function near the optimal design point. The results show that small variations in the design variables lead to minor changes in airfoil performance. We also identified the variable ranges around this point that satisfy the constraints through numerical calculations. Finally, we compared our approach with factorial design, a common sensitivity analysis method, and found that Taylor approximations offer a more detailed theoretical explanation of the results.

https://doi.org/10.29169/1927-5129.2025.21.10
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References

Mason RL, Gunst RF, Hess JL. Statistical Design and Analysis of Experiments With Applications to Engineering and Science. John Wiley & Sons, Inc, New York 2003.

Myers RH, Montgomery DC, Anderson-Cook CM. Surface Methodology: Process and Product Optimization Using Designed Experiments third edition, John Wiley & Sons, Inc. 2009.

Jirasek A. Design of Vortex Generator Flow Control in Inlets. Journal of Aircraft 2006; 43: 1886-1892.

Hamstra JW, Miller DN, Truax PP, Anderson BA, Wendt BJ. Active inlet flow control technology demonstration. The Aeronautical Journal 2000; 104: 473-479.

Yurko I, Bondarenko G. A New Approach to Designing the S-Shaped Annular Duct for Industrial Centrifugal Compressor. Int J Rotating Mach 2014; 2014: 925368.

Spanelis A, Walker AD. A Multi-Objective Factorial Design Methodology for Aerodynamic Off-Takes and Ducts. Aerospace 2022; 9: 130.

Thakur V, Kumar R, Kumar R, Singh R, Kumar V. Hybrid additive manufacturing of highly sustainable Polylactic acid -Carbon Fiber-Polylactic acid sandwiched composite structures: Optimization and machine learning. Journal of Thermoplastic Composite Materials 2024; 37(2): 466-492.

Hasanzadeh R. A New Polymeric Hybrid Auxetic Structure Additively Manufactured by Fused Filament Fabrication 3D Printing: Machine Learning-Based Energy Absorption Prediction and Optimization. Polymers 2024; 16(24): 3565.

Frank Y, Kenneth M. Ronald Aylmer Fisher. Biographical Memoirs of Fellows of the Royal Society 1963; 9: 91-120.

Fisher R. The Arrangement of Field Experiments. Journal of the Ministry of Agriculture of Great Britain 1926; 3: 503-513.

Box GEP, Draper NR. Empirical Model Building and Response Surfaces, Wiley, New York, NY, 1987.

Montgomery DC. Design and Analysis of Experiments, eighth edition, John Wiley & Sons, Inc, New York. International Student Version 2012.

Gopalarathnam A, McAvoy C. Effect of airfoil characteristics and trim considerations on aircraft performance, 19th AIAA Applied Aerodynamics Conference (Anaheim, CA, U.S.A.) 2001.

Gopalarathnam A, McAvoy CW. Effect of airfoil characteristics on aircraft performance, Journal of Aircraft 2002; 39(3): 427-433.

Letko W, Brewer JD. Effect of Airfoil Profile of Symmetrical Sections on the Low-Speed Rolling Derivatives of 45o Sweptback-Wing Models of Aspect Ratio 2.61, National Advisory Committee for Aeronautics. Washington, D.C., 1949.

Wood RM, Miller DS. Impact of airfoil profile on the supersonic aerodynamics of delta wings. Journal of Aircraft 1986; 23(9): 695-702.

Aoki M, Nishimura H, Yamakawa E. Effect of Airfoil on rotational noise of helicopter rotor. Aircraft Symposium, 33 rd, Hiroshima, Japan 1995.

McVeigh MA, McHugh FJ. Influence of tip shape, chord, blade number, and airfoil on advanced rotor performance. Journal of The American Helicopter Society 1984; 29(4), pp. 55-62.

Teja NNSK, Teja A, Harsha JS, Ganesh S, Ramana KV. Optimization of micro air vehicle airfoil, International Journal of Research in Engineering and Technology 2016; 5(3): 217-219.

Zhao L, Yang S. Influence of thickness variation on the flapping performance of symmetric NACA airfoils in plunging motion. Mathematical Problems in Engineering 2010; 19.

Ismail KA, Rosolen CV. Effects of the airfoil section, the chord and pitch distributions on the aerodynamic performance of the propeller. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2019; 41(3): 1-19.

Zhang H, Hu Y, Wang G. The effect of aerofoil camber on cycloidal propellers. Aircraft Engineering and Aerospace Technology 2018; 90(8): 1156-1167.

Zhang S, Li H, Jia W, Xi D. Multi-objective optimization design for airfoils with high lift-to-drag ratio based on geometric feature control. IOP Conf. Series: Earth and Environmental Science 2019; 227: 032014.

Zhang R, Li D, Chang H, Wei X, Wang H. Multi-objective optimization on blade airfoil of vertical axis wind turbine. Physics of Fluids 2024; 36: 085172.

Han Z, Luo O, Luo C. Optimal Design of a Biconvex Airfoil for a Supersonic Aircraft Using the Basin-Hopping and Exhaustive Search Methods. Journal of Basic & Applied Sciences 2025; 21: 53-65.

Anderson JD Jr. Fundamentals of Aerodynamics, sixth edition, McGraw-Hill Education New York, NY, 2016.

Bernstein DJ. Understanding brute force. Workshop Record of ECRYPT STVL Workshop in Symmetric Key Encryption. eSTREAM report 2005/036, 2005. https://cr.yp.to/snuffle/bruteforce-20050425.pdf

Wales DJ, Doye JPK. Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms. The Journal of Physical Chemistry A 1997; 101(28): 5111-5116.

Baioletti M, Santucci V, Tomassini M. A performance analysis of Basin hopping compared to established metaheuristics for global optimization. J Glob Optim 2024; 89(3): 803-832.

Nomura S, C Programming and Numerical Analysis: An Introduction. Morgan & Claypool, 2018.

Nocedal J, Wright SJ. Numerical Optimization. Springer New York 2006.

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