Evaluation on Swimming Efficiency of an Eel-inspired Soft Robot with Partially Damaged Body

Author(s):  
Dinh Quang Nguyen ◽  
Van Anh Ho
Author(s):  
Jialei Song ◽  
Yong Zhong ◽  
Ruxu Du ◽  
Ling Yin ◽  
Yang Ding

In this paper, we investigate the hydrodynamics of swimmers with three caudal fins: a round one corresponding to snakehead fish ( Channidae), an indented one corresponding to saithe ( Pollachius virens), and a lunate one corresponding to tuna ( Thunnus thynnus). A direct numerical simulation (DNS) approach with a self-propelled fish model was adopted. The simulation results show that the caudal fin transitions from a pushing/suction combined propulsive mechanism to a suction-dominated propulsive mechanism with increasing aspect ratio ( AR). Interestingly, different from a previous finding that suction-based propulsion leads to high efficiency in animal swimming, this study shows that the utilization of suction-based propulsion by a high- AR caudal fin reduces swimming efficiency. Therefore, the suction-based propulsive mechanism does not necessarily lead to high efficiency, while other factors might play a role. Further analysis shows that the large lateral momentum transferred to the flow due to the high depth of the high- AR caudal fin leads to the lowest efficiency despite the most significant suction.


Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.


Nature ◽  
2021 ◽  
Vol 591 (7848) ◽  
pp. 66-71
Author(s):  
Guorui Li ◽  
Xiangping Chen ◽  
Fanghao Zhou ◽  
Yiming Liang ◽  
Youhua Xiao ◽  
...  

Author(s):  
Mingxia Liu ◽  
Shu Zhu ◽  
Yanjia Huang ◽  
Zihui Lin ◽  
Weiping Liu ◽  
...  

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 732-737
Author(s):  
Zhiping Wang ◽  
Yicha Zhang ◽  
Gaofeng Li ◽  
Guoqing Jin ◽  
Alain Bernard

Author(s):  
T.V. Truong ◽  
R.C. Mysa ◽  
T. Stalin ◽  
P.M. Aby Raj ◽  
P. Valdivia y Alvarado
Keyword(s):  

Author(s):  
Zach J. Patterson ◽  
Andrew P. Sabelhaus ◽  
Keene Chin ◽  
Tess Hellebrekers ◽  
Carmel Majidi
Keyword(s):  

2021 ◽  
Vol 6 (2) ◽  
pp. 951-957
Author(s):  
Ze Yang Ding ◽  
Junn Yong Loo ◽  
Vishnu Monn Baskaran ◽  
Surya Girinatha Nurzaman ◽  
Chee Pin Tan

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