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http://dx.doi.org/10.5139/IJASS.2016.17.3.423

Wing Design Optimization for a Long-Endurance UAV using FSI Analysis and the Kriging Method  

Son, Seok-Ho (R&D Engineering Team, PIDO TECH Inc.)
Choi, Byung-Lyul (Engineering Consulting Team, PIDO TECH Inc.)
Jin, Won-Jin (Depart. of Aviation Maintenance Engineering, Far East University)
Lee, Yung-Gyo (Aerodynamics Team, Korea Aerospace Research Inst.)
Kim, Cheol-Wan (Aerodynamics Team, Korea Aerospace Research Inst.)
Choi, Dong-Hoon (School of Mechanical Engineering, Hanyang University)
Publication Information
International Journal of Aeronautical and Space Sciences / v.17, no.3, 2016 , pp. 423-431 More about this Journal
Abstract
In this study, wing design optimization for long-endurance unmanned aerial vehicles (UAVs) is investigated. The fluid-structure 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 $C_L=1.0$. The result shows that the optimal wing shape produced 5.95 % less drag compared to the initial wing shape.
Keywords
Long endurance UAV(unmanned aerial vehicle); CFD(computational fluid dynamics); FSI(fluid-structure integration) analysis; Design optimization; Kriging method;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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