|Wing Design Optimization for a Long-Endurance UAV using FSI Analysis and the Kriging Method
Seok-Ho Son, Byung-Lyul Choi, Won-Jin Won, Yung-Gyo Lee, Cheol-Wan Kim and Dong-Hoon Choi
International Journal of Aeronautical and Space Sicences, vol. 17, no. 3, pp.423-431, 2016
Abstract : In this study, wing design optimization for long-endurance unmanned aerial vehicles (UAVs) is investigated. The fluidstructure
integration (FSI) analysis is carried out to simulate the aeroelastic characteristics of a high-aspect ratio wing for a
long-endurance UAV. High-fidelity computational codes, FLUENT and DIAMOND/IPSAP, are employed for the loose coupling
FSI optimization. In addition, this optimization procedure is improved by adopting the design of experiment (DOE) and
Kriging model. A design optimization tool, PIAnO, integrates with an in-house codes, CAE simulation and an optimization
process for generating the wing geometry/computational mesh, transferring information, and finding the optimum solution.
The goal of this optimization is to find the best high-aspect ratio wing shape that generates minimum drag at a cruise condition
of CL = 1.0. The result shows that the optimal wing shape produced 5.95 % less drag compared to the initial wing shape.
Keyword : Long endurance UAV (unmanned aerial vehicle), CFD (computational fluid dynamics), FSI (fluid-structure integration) analysis, Design optimization, Kriging method