Transactions of Nanjing University of Aeronautics & Astronautics
Aerodynamic Shape Optimization of a Flying-Wing UAV
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Abstract:
The flying-wing layout， characterized by its distinctive aerodynamic fusion of the wing and fuselage， markedly augments the effective lift surface area of an aircraft. Both shape optimization and layout optimization play equally vital roles in enhancing the aerodynamic performance of this kind of configurations. In this paper， to address the aerodynamic shape optimization challenges pertaining to flying-wing unmanned aerial vehicle （UAV）， an efficient parametric modeling method is introduced. This method facilitates the parametric deformation control of complex shapes. It integrates gradient-based optimization algorithms， discrete adjoint methods， and computational fluid dynamics （CFD） techniques grounded in Reynolds average Navier-Stokes （RANS） equations to achieve aerodynamic shape optimization and reduce drag for flying-wing UAV， resulting in a notable 7.17% improvement in the lift-to-drag ratio. The optimization results indicate that， while adhering to constraint requirements， the aerodynamic optimization design method based on these methodologies exhibits robust adaptability to wing-fuselage blended configurations， effectively enhancing the aerodynamic performance of unmanned aerial vehicles.
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Project Supported:
This work was supported in part by the National Natural Science Foundation of China （No.11972180）.
Clc Number:
V211.3
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