TY - GEN
T1 - Optimization design of an blended wing body underwater glider’s configuration
AU - Huang, Qiaogao
AU - Liu, Guanshan
AU - Ma, Yunlong
AU - Pan, Guang
AU - Lv, Da
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - For the blended-wing-body underwater gliders, lift-to-drag ratio which is mainly determined by the profile foils is one of the most important performance parameters. In this paper, GUI functions based on MATLAB code are applied to form an optimization system. Parametric model of the foil are described by Class function/shape function transformation (CST) method. XFOIL, an open-source code is employed to compute the hydrodynamic performance of the profile foils. Genetic algorithm is used to finish the optimization of the foils which derived from the profiles of one original blended-wing-body underwater gliders. The optimization result showed that the lift-to-drag ratio of the profile foils rises up to 36%. By using the optimized foils, the new blended-wing-body underwater glider gets its improvements in maximum lift-to-drag ratio, range of attack angle with high lift-to-drag ratio and payload capacity.
AB - For the blended-wing-body underwater gliders, lift-to-drag ratio which is mainly determined by the profile foils is one of the most important performance parameters. In this paper, GUI functions based on MATLAB code are applied to form an optimization system. Parametric model of the foil are described by Class function/shape function transformation (CST) method. XFOIL, an open-source code is employed to compute the hydrodynamic performance of the profile foils. Genetic algorithm is used to finish the optimization of the foils which derived from the profiles of one original blended-wing-body underwater gliders. The optimization result showed that the lift-to-drag ratio of the profile foils rises up to 36%. By using the optimized foils, the new blended-wing-body underwater glider gets its improvements in maximum lift-to-drag ratio, range of attack angle with high lift-to-drag ratio and payload capacity.
KW - Blended-wing-body underwater gliders
KW - Class function/shape function transformation (CST)
KW - Genetic algorithm
KW - Wing optimization
KW - XFOIL open-source code
UR - http://www.scopus.com/inward/record.url?scp=85060277962&partnerID=8YFLogxK
U2 - 10.1109/OCEANSKOBE.2018.8559457
DO - 10.1109/OCEANSKOBE.2018.8559457
M3 - 会议稿件
AN - SCOPUS:85060277962
T3 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
BT - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Y2 - 28 May 2018 through 31 May 2018
ER -