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A pressure-based force and torque prediction technique for the study of fish-like swimming

Lucas, Kelsey N. and Dabiri, John O. and Lauder, George V. (2017) A pressure-based force and torque prediction technique for the study of fish-like swimming. PLoS ONE, 12 (12). Art. No. e0189225. ISSN 1932-6203. PMCID PMC5720764. https://resolver.caltech.edu/CaltechAUTHORS:20190422-155746243

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Abstract

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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1371/journal.pone.0189225DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720764/PubMed CentralArticle
http://dx.doi.org/10.7910/DVN/5NCA5XDOIvideo and force-torque sensor data files
ORCID:
AuthorORCID
Lucas, Kelsey N.0000-0002-9300-550X
Dabiri, John O.0000-0002-6722-9008
Additional Information:© 2017 Lucas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This work was supported by a National Science Foundation Graduate Research Fellowship under grant DGE-1144152 and a Harvard University Chapman Fellowship to KNL and by the Office of Naval Research Multi-University Research Initiative Grant N000141410533 monitored by Dr. Bob Brizzolara to GVL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Thanks to Francis Carr, Ryan Feather, Patrick Thornycroft, Brad Gemmell, and Eric Tytell for technical assistance, and to Iman Borazjani, Kara Feilich, Elena Kramer, and Pete Girguis for helpful discussions. We also thank Eric Tytell, Sean Colin, and the anonymous reviewers for their feedback on earlier versions of this manuscript. The authors declare that no competing interests exist. Data Availability: All video and force-torque sensor data files are available from the “Video and sensor data for pressure-based force calculation validation” database on Harvard Dataverse available at http://dx.doi.org/10.7910/DVN/5NCA5X. The Dabiri et al. (2014, J. Exp. Biol.) pressure-field algorithm is freely available at http://dabirilab.com/software/ as executable software in a .p file format, which will launch as a GUI in Matlab where the user can load velocity data and generate the corresponding pressure fields. Please note that the .p file will not render as a readable code in a text editor, and the reader is highly encouraged to reference the ReadMe document provided with the GUI. The algorithm is also available at https://github.com/kelseynlucas, along with all other scripts used for data processing.
Group:GALCIT
Funders:
Funding AgencyGrant Number
NSF Graduate Research FellowshipDGE-1144152
Harvard UniversityUNSPECIFIED
Office of Naval Research (ONR)N000141410533
Issue or Number:12
PubMed Central ID:PMC5720764
Record Number:CaltechAUTHORS:20190422-155746243
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190422-155746243
Official Citation:Lucas KN, Dabiri JO, Lauder GV (2017) A pressure-based force and torque prediction technique for the study of fish-like swimming. PLoS ONE 12(12): e0189225. https://doi.org/10.1371/journal.pone.0189225
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:94871
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:23 Apr 2019 14:44
Last Modified:03 Oct 2019 21:07

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