To break the application scenario limitations of traditional bionic underwater robots and open up the way of information docking between underwater and water surface, a systematic study was conducted on the cross-medium standing-and-walking (SAW) behavior of dolphins under the collaborative movements of the body, caudal, and pectoral fins. A three-dimensional physical model of the biomimetic dolphin robot was established, a collaborative movement law of the body, caudal, and pectoral fins was proposed, and the SAW behavior under two modes, Homologous and Reverse modes, was realized. The mapping relationship between the robot's kinematic parameters and hydrodynamic performance parameters was analyzed, the respective advantages of the two vertical walking modes were compared, and the SAW mechanism of the two modes was revealed physically with the help of the evolution law of the flow field around the robot. The results show that the biomimetic dolphin robot can realize cross-medium SAW behavior through the collaborative movements of the body, caudal pectoral fins. It is worth noting that the Hom mode has a superior walking speed, which can reach up to 0.27 m/s, an increase in 83.3% compared to the Rev mode under the same conditions, while the Rev mode has better walking stability, with a minimum fluctuation rate of 2.59%, a 30.8% improvement compared to the Hom mode. This research provides a novel idea for enhancing the surface operation capability of traditional biomimetic underwater robots and provides an important fluid mechanics theoretical basis for the design of new generation of cross-medium dolphin robots.
Skip Nav Destination
Article navigation
July 2024
Research Article|
July 23 2024
Hydrodynamics of standing-and-walking on the water surface by dolphins using collaborative movements of the body and fins
Ming Lei (雷鸣)
;
Ming Lei (雷鸣)
(Conceptualization, Data curation, Methodology, Software, Writing – original draft)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
Search for other works by this author on:
Qingyuan Gai (盖清源);
Qingyuan Gai (盖清源)
(Formal analysis, Investigation, Validation)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
Search for other works by this author on:
Han Yan (闫寒)
;
Han Yan (闫寒)
(Conceptualization, Visualization)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
Search for other works by this author on:
Yuyao Li (李聿尧);
Yuyao Li (李聿尧)
(Data curation, Formal analysis)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
Search for other works by this author on:
Jinming Wu (吴金明);
Jinming Wu (吴金明)
(Resources, Writing – review & editing)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
Search for other works by this author on:
Dan Xia (夏丹)
Dan Xia (夏丹)
a)
(Funding acquisition, Project administration, Supervision, Writing – review & editing)
School of Mechanical Engineering, Southeast University
, Nanjing 211189, China
a)Author to whom correspondence should be addressed: dxia@seu.edu.cn
Search for other works by this author on:
a)Author to whom correspondence should be addressed: dxia@seu.edu.cn
Physics of Fluids 36, 071913 (2024)
Article history
Received:
May 20 2024
Accepted:
July 06 2024
Connected Content
A companion article has been published:
Robot dolphin can swim, hover, and walk like its natural counterparts
Citation
Ming Lei, Qingyuan Gai, Han Yan, Yuyao Li, Jinming Wu, Dan Xia; Hydrodynamics of standing-and-walking on the water surface by dolphins using collaborative movements of the body and fins. Physics of Fluids 1 July 2024; 36 (7): 071913. https://doi.org/10.1063/5.0219768
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
219
Views
Citing articles via
On Oreology, the fracture and flow of “milk's favorite cookie®”
Crystal E. Owens, Max R. Fan (范瑞), et al.
Fluid–structure interaction on vibrating square prisms considering interference effects
Zengshun Chen (陈增顺), 陈增顺, et al.
Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations
Hamidreza Eivazi, Mojtaba Tahani, et al.