Efficient study of Aerodynamic Characteristics over NACA 0012 at 1000 Reynolds number using subparametric transformations in Micro Air Vehicle application

Bird tails play a key role in aerodynamics and flight stability. They produce extra lift for takeoff and landing maneuvers, enhance wing functions and maintain stability during flight (keeping the bird from yawing, rolling and pitching, or otherwise losing control). This paper investigates the use of bioinspired horizontal stabilizers for Micro Air Vehicles (MAVs) involving a Zimmerman wing-body geometry. A selection of five tail shapes of the main types existing in nature is presented, and a parametric analysis is conducted looking into the influence of the most relevant tail geometric parameters to increase the longitudinal static stability of the vehicle. Based on the parametric study, a smaller subset of candidate tail designs are shortlisted to perform a detailed aerodynamic analysis. Then, steady RANS CFD simulations are conducted for a higher-fidelity study of these candidate tail designs to obtain an optimum of each tail type. The criterion for selection of the optimum tail configuration is the maximum aerodynamic efficiency, CLCD , as well as a high longitudinal static stability. The squared-fan tail provides the highest aerodynamic efficiency while maintaining a high longitudinal stability of the vehicle. In conclusion, this paper provides an innovative study of improving longitudinal stability and aerodynamics through the implementation of bioinspired horizontal stabilizers in vehicles with these characteristics.

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Efficient study of Aerodynamic Characteristics over NACA 0012 at 1000 Reynolds number using subparametric transformations in Micro Air Vehicle application

Cited by 3 publications

References 9 publications

Evaluation of wing performance for NACA 4415 using subparametric finite element transforms

Evaluation of wing performance for NACA 4415 using subparametric finite element transforms

Effective Prediction of Coefficients and Performance of Airfoil Using ANN

Numerical Analysis of Bioinspired Tails in a Fixed-Wing Micro Air Vehicle

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