A Fluid–Structure Interaction Study on a Bionic Fish Fin With Non-Uniform Stiffness Distribution

Xiao, Qing; Shi, Guangyu

doi:10.1115/1.4046409

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…Cui and Jiang [17] established a model of a robotic fish driven by a single joint and connected to several passive joints, and proved that swimming performance could be optimized by varying the stiffness. In the study by Xie et al [18], the performance of a caudal fin with medium stiffness was the best, and a similar conclusion was reached in [19]. In [20], the stiffness of the robotic fish was adjusted by varying the air pressure on the fish body so that the natural frequency could range from 2.0 to 2.8 Hz.…”

Section: Introductionmentioning

confidence: 80%

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Tail-stiffness optimization for a flexible robotic fish

Zou¹,

Zhou²,

Lu³

et al. 2022

Bioinspir. Biomim.

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The robotic fish propelled by a passive flexible tail can perform the undulation regulation of natural fish better than using a rigid tail owing to its smooth curvature. Moreover, it has been observed that fish change the stiffness of their bodies to adapt to various swimming states. Inspired by this, a stiffness optimization scheme is explored for a novel elastic tail, which can improve the performance of the robotic fish. Spring steels are used as passive flexible joints of the fishtail, which can be easily expanded into multi-joint structures, and the joint stiffness can be altered by changing the joint size. In this study, the Lagrangian dynamic method is employed to establish the dynamic model of the robotic fish, where passive flexible joints are simplified by a pseudo-rigid-body model. In addition, the hydrodynamics of the head and tail are analyzed using the simplified Morison equation and quasi-steady wing theory, respectively. Furthermore, to determine unknown hydrodynamic parameters in the dynamic model, a parameter identification method is applied. The results show that the identified simulation speeds fit the experimental speeds well within a wide range of stiffness values. Finally, to improve performance, the influence of joint stiffness and frequency on swimming speed is investigated based on the identified dynamic model. At each frequency, the optimal joint stiffness distribution is to reduce the stiffness from the front to the rear. At the maximum driving frequency of 2.5 Hz, the optimal swimming speed is 0.3 BL/s higher than that of using rigid joints.

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Section: Introductionmentioning

confidence: 80%

“…The difficulty lies in the analysis of the hydrodynamic forces. Numerical methods, such as the Navier-Stokes equations [19,25] and the discrete vortex panel method [12], are used to analyze unsteady flow fields. These methods are accurate, but make the dynamic model of the robotic fish too complicated to solve.…”

Section: Introductionmentioning

confidence: 99%

Tail-stiffness optimization for a flexible robotic fish

Zou¹,

Zhou²,

Lu³

et al. 2022

Bioinspir. Biomim.

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show abstract

“…Refinement is set towards the fin boundary to ensure correct calculation and capture of all physical effects, as pictured in Figure 5b. Mesh independency study can be found in [10]. The time step for each case is /100.…”

Section: Domain and Case Setupmentioning

confidence: 99%

CFD-FSI Analysis on Motion Control of Bio-Inspired Underwater AUV System Utilizing PID Control

Wright

Xiao

Post

et al. 2020

2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043)

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Development and Performance Analysis of Pneumatic Soft‐Bodied Bionic Flipper

Zhao

Lim

et al. 2022

Adv Eng Mater

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The sea lion fore flipper has superior underwater movement performance. Its structural characteristics and propulsion mechanism are drawn, combined with the large deformation and hyperelastic properties of silicone, a pneumatic soft‐bodied bionic flipper with strong underwater mobility, good environmental adaptability, and flexible attitude transformation. Based on Yeoh's second‐order constitutive model of silicone, the nonlinear dynamic analysis of the main limb of the bionic flipper is carried out, and the deformation analysis theoretical model is established. Then, the force analysis of infinitesimal and integral of the wing fin of the bionic flipper is analyzed by the blade element theory, to obtain the theoretical model of underwater propulsion dynamic performance. The superiority of the hydrodynamic performance of the bionic flipper is analyzed and confirmed using the bidirectional fluid–structure coupling numerical simulation algorithm. An experimental test platform is built to test the physical model of the bionic flipper. The motion and dynamic characteristics curves of the bionic flipper are obtained and compared with the corresponding numerical simulation results. The results show that the theoretical model and numerical simulation are accurate, and the structure is feasible, which can provide methods and references for the research and implementation of the underwater propeller.

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A Fluid–Structure Interaction Study on a Bionic Fish Fin With Non-Uniform Stiffness Distribution

Cited by 9 publications

References 51 publications

Tail-stiffness optimization for a flexible robotic fish

Tail-stiffness optimization for a flexible robotic fish

CFD-FSI Analysis on Motion Control of Bio-Inspired Underwater AUV System Utilizing PID Control

Development and Performance Analysis of Pneumatic Soft‐Bodied Bionic Flipper

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