A pressure-based force and torque prediction technique for the study of fish-like swimming.
Many outstanding questions about the evolution and function of fish morphology are linked to swimming dynamics, and a detailed knowledge of time-varying forces and torques along the animal's body is a key component in answering many of these questions. Yet, quantifying these forces and torques...
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doaj-205aee58fe77446aa4f3962d4970889d2020-11-24T21:26:34ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011212e018922510.1371/journal.pone.0189225A pressure-based force and torque prediction technique for the study of fish-like swimming.Kelsey N LucasJohn O DabiriGeorge V LauderMany outstanding questions about the evolution and function of fish morphology are linked to swimming dynamics, and a detailed knowledge of time-varying forces and torques along the animal's body is a key component in answering many of these questions. Yet, quantifying these forces and torques experimentally represents a major challenge that to date prevents a full understanding of fish-like swimming. Here, we develop a method for obtaining these force and torque data non-invasively using standard 2D digital particle image velocimetry in conjunction with a pressure field algorithm. We use a mechanical flapping foil apparatus to model fish-like swimming and measure forces and torques directly with a load cell, and compare these measured values to those estimated simultaneously using our pressure-based approach. We demonstrate that, when out-of-plane flows are relatively small compared to the planar flow, and when pressure effects sufficiently dominate shear effects, this technique is able to accurately reproduce the shape, magnitude, and timing of locomotor forces and torques experienced by a fish-like swimmer. We conclude by exploring of the limits of this approach and its feasibility in the study of freely-swimming fishes.http://europepmc.org/articles/PMC5720764?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kelsey N Lucas John O Dabiri George V Lauder |
spellingShingle |
Kelsey N Lucas John O Dabiri George V Lauder A pressure-based force and torque prediction technique for the study of fish-like swimming. PLoS ONE |
author_facet |
Kelsey N Lucas John O Dabiri George V Lauder |
author_sort |
Kelsey N Lucas |
title |
A pressure-based force and torque prediction technique for the study of fish-like swimming. |
title_short |
A pressure-based force and torque prediction technique for the study of fish-like swimming. |
title_full |
A pressure-based force and torque prediction technique for the study of fish-like swimming. |
title_fullStr |
A pressure-based force and torque prediction technique for the study of fish-like swimming. |
title_full_unstemmed |
A pressure-based force and torque prediction technique for the study of fish-like swimming. |
title_sort |
pressure-based force and torque prediction technique for the study of fish-like swimming. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2017-01-01 |
description |
Many outstanding questions about the evolution and function of fish morphology are linked to swimming dynamics, and a detailed knowledge of time-varying forces and torques along the animal's body is a key component in answering many of these questions. Yet, quantifying these forces and torques experimentally represents a major challenge that to date prevents a full understanding of fish-like swimming. Here, we develop a method for obtaining these force and torque data non-invasively using standard 2D digital particle image velocimetry in conjunction with a pressure field algorithm. We use a mechanical flapping foil apparatus to model fish-like swimming and measure forces and torques directly with a load cell, and compare these measured values to those estimated simultaneously using our pressure-based approach. We demonstrate that, when out-of-plane flows are relatively small compared to the planar flow, and when pressure effects sufficiently dominate shear effects, this technique is able to accurately reproduce the shape, magnitude, and timing of locomotor forces and torques experienced by a fish-like swimmer. We conclude by exploring of the limits of this approach and its feasibility in the study of freely-swimming fishes. |
url |
http://europepmc.org/articles/PMC5720764?pdf=render |
work_keys_str_mv |
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