Passive robotic models of propulsion by the bodies and caudal fins of fish.

Integr Comp Biol

Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, USA.

Published: November 2012

Considerable progress in understanding the dynamics of fish locomotion has been made through studies of live fishes and by analyzing locomotor kinematics, muscle activity, and fluid dynamics. Studies of live fishes are limited, however, in their ability to control for parameters such as length, flexural stiffness, and kinematics. Keeping one of these factors constant while altering others in a repeatable manner is typically not possible, and it is difficult to make critical measurements such as locomotor forces and torques on live, freely-swimming fishes. In this article, we discuss the use of simple robotic models of flexing fish bodies during self-propulsion. Flexible plastic foils were actuated at the leading edge in a heave and/or pitch motion using a robotic flapping controller that allowed moving foils to swim at their self-propelled speed. We report unexpected non-linear effects of changing the length and stiffness of the foil, and analyze the effect of changing the shape of the trailing edge on self-propelled swimming speed and kinematics. We also quantify the structure of the wake behind swimming foils with volumetric particle image velocimetry, and describe the effect of flexible heterocercal and homocercal tail shapes on flow patterns in the wake. One key advantage of the considerable degree of control afforded by robotic devices and the use of simplified geometries is the facilitation of mathematical analyses and computational models, as illustrated by the application of an inviscid computational model to propulsion by a flapping foil. This model, coupled with experimental data, demonstrates an interesting resonance phenomenon in which swimming speed varies with foil length in an oscillatory manner. Small changes in length can have dramatic effects on swimming speed, and this relationship changes with flexural stiffness of the swimming foil.

Download full-text PDF

Source
http://dx.doi.org/10.1093/icb/ics096DOI Listing

Publication Analysis

Top Keywords

swimming speed
12
robotic models
8
studies live
8
live fishes
8
flexural stiffness
8
swimming
5
passive robotic
4
models propulsion
4
propulsion bodies
4
bodies caudal
4

Similar Publications

Objectives: The present study describes the comparative effect of 24-week supplementation of beeswax alcohol (BWA, Raydel, 0.5% and 1.0%, wt/wt) and coenzyme Q (CoQ, 0.

View Article and Find Full Text PDF

The impact of enrichment on stress reduction in zebrafish () exposed to a novel environment was assessed. Four control shoals (CTRL) and five treated shoals (TRT), each with eight fish, were observed; in TRT tanks, a PVC pipe was included (three-way tube, 11.7 × 4 cm) as enrichment for 90 days.

View Article and Find Full Text PDF

As a key determinant of how efficiently lionfish ( sp.) locate and capture prey, swimming speed plays a crucial role in shaping the predator-prey interactions and broader ecological dynamics within the invaded ecosystems. Swimming speed on a small temporal and spatial scale is difficult to measure because of the need for precise measurements of both distance and duration of the behavior.

View Article and Find Full Text PDF

Exploring the swimming performance and the physical mechanisms oflocomotion.

Bioinspir Biomim

January 2025

Mathematics and Statistics, College of New Jersey, 2000 Pennington Road, Ewing, New Jersey, 08628, UNITED STATES.

Tomopterids are mesmerizing holopelagic swimmers. They use two modes of locomotion simultaneously: drag-based metachronal paddling and bodily undulation.has two rows of flexible legs (parapodia) positioned on opposite sides of its body.

View Article and Find Full Text PDF

Factors Relating to Sprint Swimming Performance: A Systematic Review.

Sports Med

January 2025

Aquatics Lab, Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.

Background: Swimming performance depends on a wide variety of factors; however, the interaction between these factors and their importance varies between events. In sprint events, the characterized pacing underlines its specific development, as swimmers must achieve the highest possible speed while sustaining it to the greatest extent possible.

Objectives: The aim of this review was to identify the key factors underlying sprint swimming performance and to provide in-depth and practical evidence-based information to optimize performance.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!