Investigation of flow mechanism of a robotic fish swimming by using flow visualization synchronized with hydrodynamic force measurement

2010 ◽  
pp. 173-183
Author(s):  
Guang-Kun Tan ◽  
Gong-Xin Shen ◽  
Shuo-Qiao Huang ◽  
Wen-Han Su ◽  
Yu Ke
Keyword(s):  
Flow Visualization ◽  
Hydrodynamic Force ◽  
Force Measurement ◽  
Robotic Fish ◽  
Flow Mechanism ◽  
Fish Swimming

scholarly journals Aerodynamics of Flapping Wing at Low Reynolds Numbers: Force Measurement and Flow Visualization

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Abhijit Banerjee ◽  
Saurav K. Ghosh ◽  
Debopam Das
Keyword(s):  
Reynolds Number ◽  
Flow Field ◽  
Flow Visualization ◽  
Force Measurement ◽  
Reynolds Numbers ◽  
Flapping Flight ◽  
Water Tank ◽  
Cross Sectional ◽  
Piv Measurement ◽  
The Difference

Flow field of a butterfly mimicking flapping model with plan form of various shapes and butterfly-shaped wings is studied. The nature of the unsteady flow and embedded vortical structures are obtained at chord cross-sectional plane of the scaled wings to understand the dynamics of insect flapping flight. Flow visualization and PIV experiments are carried out for the better understanding of the flow field. The model being studied has a single degree of freedom of flapping. The wing flexibility adds another degree to a certain extent introducing feathering effect in the kinematics. The mechanisms that produce high lift and considerable thrust during the flapping motion are identified. The effect of the Reynolds number on the flapping flight is studied by varying the wing size and the flapping frequency. Force measurements are carried out to study the variations of lift forces in the Reynolds number (Re) range of 3000 to 7000. Force experiments are conducted both at zero and finite forward velocity in a wind tunnel. Flow visualization as well as PIV measurement is conducted only at zero forward velocity in a stagnant water tank and in air, respectively. The aim here is to measure the aerodynamic lift force and visualize the flow field and notice the difference with different Reynolds number (Re), and flapping frequency (f), and advance ratios (J=U∞/2ϕfR).

Dynamic Modeling of Robotic Fish With a Base-Actuated Flexible Tail

2014 ◽  
Vol 137 (1) ◽  
Author(s):  
Jianxun Wang ◽  
Philip K. McKinley ◽  
Xiaobo Tan
Keyword(s):  
Hydrodynamic Force ◽  
Beam Theory ◽  
Small Deformation ◽  
Robotic Fish ◽  
Free Swimming ◽  
Flexible Tail ◽  
In Series ◽  
Optimization And Control ◽  
And Control ◽  
Body Theory

In this paper, we develop a new dynamic model for a robotic fish propelled by a flexible tail actuated at the base. The tail is modeled by multiple rigid segments connected in series through rotational springs and dampers, and the hydrodynamic force on each segment is evaluated using Lighthill's large-amplitude elongated-body theory. For comparison, we also construct a model using linear beam theory to capture the beam dynamics. To assess the accuracy of the models, we conducted experiments with a free-swimming robotic fish. The results show that the two models have almost identical predictions when the tail undergoes small deformation, but only the proposed multisegment model matches the experimental measurement closely for all tail motions, demonstrating its promise in the optimization and control of tail-actuated robotic fish.

Mimicry of fish swimming patterns in a robotic fish

2012 ◽  
Author(s):  
Jian-Xin Xu ◽  
Qinyuan Ren ◽  
Wenchao Gao ◽  
Xue-Lei Niu
Keyword(s):  
Robotic Fish ◽  
Fish Swimming

Design and Implementation of a Soft Robotic Fish Based on Carangiform Fish Swimming

2021 ◽  
Author(s):  
Mohammadreza Estarki ◽  
Rakhshan Hatami Varnousfaderani ◽  
Hamed Ghafarirad ◽  
Mohammad Zareinejad
Keyword(s):  
Robotic Fish ◽  
Fish Swimming ◽  
Design And Implementation

Analysis of fish and bioinspired robotic fish swimming together in a water tunnel

2013 ◽  
Author(s):  
Giovanni Polverino ◽  
Paul Phamduy ◽  
Andrea L. Facci ◽  
Marco Drago ◽  
Kamran Khan ◽  
...  
Keyword(s):  
Robotic Fish ◽  
Water Tunnel ◽  
Fish Swimming

A Bio-Inspired Strategy for Robotic Fish Swimming in Unsteday Flows

2013 ◽  
Vol 341-342 ◽  
pp. 754-759 ◽  
Author(s):  
Zhao Wei Ma ◽  
Han Zhou ◽  
Guang Ming Wang ◽  
Lin Cheng Shen ◽  
Tian Jiang Hu
Keyword(s):  
Model Simulation ◽  
Underwater Vehicles ◽  
Robotic Fish ◽  
Fish Swimming ◽  
Neural Oscillators ◽  
Changing Environments ◽  
Potential Applications ◽  
Simulation Results ◽  
Improved Model ◽  
Kinematics Parameters

Fish can swim swiftly in complicated flow environments, which conceives inspirations for man-made underwater vehicles. The paper concentrates on some bio-inspired strategies to enable robotic fish better adaptability within changing environments. An adaptive neural method corresponding to environment is proposed and developed with a pair of coupled neural oscillators. A parameters forecasting algorithm is also designed. On the other hand, a notional four joints robotic fish is designed to validate the effectiveness of the model. Simulation results show that the proposed algorithms predict the altering kinematics parameters exactly and improved model can depict the fishs adaptable behaviors. Therefore the effectiveness is further validated for potential applications into robotic fish.

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