TY - JOUR
T1 - Parametric geometric model and shape optimization of an underwater glider with blended-wing-body
AU - Sun, Chunya
AU - Song, Baowei
AU - Wang, Peng
N1 - Publisher Copyright:
© SNAK, 2015.
PY - 2015/11
Y1 - 2015/11
N2 - Underwater glider, as a new kind of autonomous underwater vehicles, has many merits such as long-range, extended-duration and low costs. The shape of underwater glider is an important factor in determining the hy-drodynamic efficiency. In this paper, a high lift to drag ratio configuration, the Blended-Wing-Body (BWB), is used to design a small civilian under water glider. In the parametric geometric model of the BWB underwater glider, the planform is defined with Bezier curve and linear line, and the section is defined with symmetrical airfoil NACA 0012. Computational investigations are carried out to study the hydrodynamic performance of the glider using the commercial Computational Fluid Dynamics (CFD) code Fluent. The Kriging-based genetic algorithm, called Efficient Global Optimization (EGO), is applied to hydrodynamic design optimization. The result demonstrates that the BWB underwater glider has excellent hydrodynamic performance, and the lift to drag ratio of initial design is increased by 7% in the EGO process.
AB - Underwater glider, as a new kind of autonomous underwater vehicles, has many merits such as long-range, extended-duration and low costs. The shape of underwater glider is an important factor in determining the hy-drodynamic efficiency. In this paper, a high lift to drag ratio configuration, the Blended-Wing-Body (BWB), is used to design a small civilian under water glider. In the parametric geometric model of the BWB underwater glider, the planform is defined with Bezier curve and linear line, and the section is defined with symmetrical airfoil NACA 0012. Computational investigations are carried out to study the hydrodynamic performance of the glider using the commercial Computational Fluid Dynamics (CFD) code Fluent. The Kriging-based genetic algorithm, called Efficient Global Optimization (EGO), is applied to hydrodynamic design optimization. The result demonstrates that the BWB underwater glider has excellent hydrodynamic performance, and the lift to drag ratio of initial design is increased by 7% in the EGO process.
KW - Blended-wing-body
KW - Computational fluid dynamics (CFD)
KW - Sensitivity
KW - Shape optimization
KW - Underwater glider
UR - http://www.scopus.com/inward/record.url?scp=84957891746&partnerID=8YFLogxK
U2 - 10.1515/ijnaoe-2015-0069
DO - 10.1515/ijnaoe-2015-0069
M3 - 文章
AN - SCOPUS:84957891746
SN - 2092-6782
VL - 7
SP - 995
EP - 1006
JO - International Journal of Naval Architecture and Ocean Engineering
JF - International Journal of Naval Architecture and Ocean Engineering
IS - 6
ER -