Literature DB >> 33593180

Tuna robotics: hydrodynamics of rapid linear accelerations.

Robin Thandiackal1, Carl H White2, Hilary Bart-Smith2, George V Lauder1.   

Abstract

Fish routinely accelerate during locomotor manoeuvres, yet little is known about the dynamics of acceleration performance. Thunniform fish use their lunate caudal fin to generate lift-based thrust during steady swimming, but the lift is limited during acceleration from rest because required oncoming flows are slow. To investigate what other thrust-generating mechanisms occur during this behaviour, we used the robotic system termed Tunabot Flex, which is a research platform featuring yellowfin tuna-inspired body and tail profiles. We generated linear accelerations from rest of various magnitudes (maximum acceleration of [Formula: see text] at [Formula: see text] tail beat frequency) and recorded instantaneous electrical power consumption. Using particle image velocimetry data, we quantified body kinematics and flow patterns to then compute surface pressures, thrust forces and mechanical power output along the body through time. We found that the head generates net drag and that the posterior body generates significant thrust, which reveals an additional propulsion mechanism to the lift-based caudal fin in this thunniform swimmer during linear accelerations from rest. Studying fish acceleration performance with an experimental platform capable of simultaneously measuring electrical power consumption, kinematics, fluid flow and mechanical power output provides a new opportunity to understand unsteady locomotor behaviours in both fishes and bioinspired aquatic robotic systems.

Entities:  

Keywords:  energetics; fish; fluid dynamics; locomotion; robot; tuna

Mesh:

Year:  2021        PMID: 33593180      PMCID: PMC8190629          DOI: 10.1098/rspb.2020.2726

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  23 in total

1.  Kinematics and hydrodynamics of linear acceleration in eels, Anguilla rostrata.

Authors:  Eric D Tytell
Journal:  Proc Biol Sci       Date:  2004-12-22       Impact factor: 5.349

2.  An algorithm to estimate unsteady and quasi-steady pressure fields from velocity field measurements.

Authors:  John O Dabiri; Sanjeeb Bose; Brad J Gemmell; Sean P Colin; John H Costello
Journal:  J Exp Biol       Date:  2013-10-10       Impact factor: 3.312

Review 3.  Hydrodynamics of C-Start Escape Responses of Fish as Studied with Simple Physical Models.

Authors:  William C Witt; Li Wen; George V Lauder
Journal:  Integr Comp Biol       Date:  2015-04-27       Impact factor: 3.326

4.  How zebrafish turn: analysis of pressure force dynamics and mechanical work.

Authors:  Robin Thandiackal; George V Lauder
Journal:  J Exp Biol       Date:  2020-08-24       Impact factor: 3.312

Review 5.  Fish locomotion: recent advances and new directions.

Authors:  George V Lauder
Journal:  Ann Rev Mar Sci       Date:  2014-09-19

6.  A bio-inspired robotic fish utilizes the snap-through buckling of its spine to generate accelerations of more than 20g.

Authors:  Todd Currier; Samuel Lheron; Yahya Modarres-Sadeghi
Journal:  Bioinspir Biomim       Date:  2020-06-05       Impact factor: 2.956

7.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Authors:  Alexander Mathis; Pranav Mamidanna; Kevin M Cury; Taiga Abe; Venkatesh N Murthy; Mackenzie Weygandt Mathis; Matthias Bethge
Journal:  Nat Neurosci       Date:  2018-08-20       Impact factor: 24.884

8.  The kinematics and performance of fish fast-start swimming

Authors: 
Journal:  J Exp Biol       Date:  1997       Impact factor: 3.312

9.  Thrust generation during steady swimming and acceleration from rest in anguilliform swimmers.

Authors:  Kevin T Du Clos; John O Dabiri; John H Costello; Sean P Colin; Jennifer R Morgan; Stephanie M Fogerson; Brad J Gemmell
Journal:  J Exp Biol       Date:  2019-11-18       Impact factor: 3.312

10.  Locomotor forces on a swimming fish: three-dimensional vortex wake dynamics quantified using digital particle image velocimetry.

Authors: 
Journal:  J Exp Biol       Date:  1999       Impact factor: 3.312

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  1 in total

1.  Stability and manoeuvrability in animal movement: lessons from biology, modelling and robotics.

Authors:  Andrew A Biewener; Richard J Bomphrey; Monica A Daley; Auke J Ijspeert
Journal:  Proc Biol Sci       Date:  2022-01-19       Impact factor: 5.349

  1 in total

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