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Investigation of a longfin inshore squid's swimming characteristics and an underwater locomotion during acceleration
Affiliation:1. Yildiz Technical University, Faculty of Mechanical Engineering, Besiktas, Istanbul 34349, Turkey;2. Yeditepe University, Mechanical Engineering Department, Atasehir, Istanbul 34755, Turkey;1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi''an, 710072, People''s Republic of China;2. Key Laboratory of Unmanned Underwater Vehicle, Northwestern Polytechnical University, Xi''an, 710072, People''s Republic of China;1. Dept. of Mechanical Engineering, Cukurova University, 01330, Saricam, Adana, Turkiye;2. Dept. of Aerospace Engineering, Istanbul Aydin University, Kucukcekmece, Istanbul, Turkiye;1. Computational Marine Hydrodynamics Lab (CMHL), School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China;2. Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province, Huadong Engineering Corporation Limited, Hangzhou, China;3. Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia;4. Ocean College, Zhejiang University, Zhoushan, China;1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi''an, 710072, China;2. Key Laboratory for Unmanned Underwater Vehicle, Northwestern Polytechnical University, Xi''an, 710072, China;3. School of Mechanic and Electronic Engineering, Henan University of Technology, Zhengzhou, 450001, China
Abstract:In the present study, locomotion of a real longfin inshore squid (Doryteuthis pealeii) was numerically investigated. Geometry of a real squid was obtained using computed tomography (CT) images. In addition to a two-dimensional axisymmetric squid model, a modified squid model with no cavities around her head and an ellipse shaped model were generated with a fineness ratio (the ratio of body length to maximum body diameter) of 7.56. These numerical models were exposed to an acceleration with two different velocity programs. Added mass and basset forces on bodies were calculated during acceleration of the squid models starting from rest. Pressure and viscous drag forces were also calculated due to pressure variation along the squid models and friction on the surface of the models. The effect of a nozzle diameter on jet velocities and propulsive efficiency at all bodies were evaluated when time dependent velocity profiles (from 0 to 10 m/s in 0.5 and 1 s time durations) were set for the inlet of computational domain. The modified squid model required least thrust force during acceleration phase of time dependent velocity profile compared to the other models while the 0.02 m nozzle diameter provided largest propulsive efficiency for all models.
Keywords:Longfin inshore squid  Computed tomography (CT)  CFD  Propulsive efficiency  Drag  Unsteady fluid flow
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