Cargando…
Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method
Fish form schools because of many possible reasons. However, the hydrodynamic mechanism whereby the energy efficiency of fish schools is improved still remains unclear. There are limited examples of fish models based on actual swimming movements using simulation, and the movements in existing models...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092777/ https://www.ncbi.nlm.nih.gov/pubmed/33939762 http://dx.doi.org/10.1371/journal.pone.0250837 |
_version_ | 1783687692858425344 |
---|---|
author | Doi, Keisuke Takagi, Tsutomu Mitsunaga, Yasushi Torisawa, Shinsuke |
author_facet | Doi, Keisuke Takagi, Tsutomu Mitsunaga, Yasushi Torisawa, Shinsuke |
author_sort | Doi, Keisuke |
collection | PubMed |
description | Fish form schools because of many possible reasons. However, the hydrodynamic mechanism whereby the energy efficiency of fish schools is improved still remains unclear. There are limited examples of fish models based on actual swimming movements using simulation, and the movements in existing models are simple. Therefore, in this study, we analyzed the swimming behavior of Biwa salmon (Oncorhynchus sp., a salmonid fish) using image analyses and formulated its swimming motion. Moreover, computational fluid dynamics analysis was carried out using the formulated swimming motion to determine the fluid force acting on the fish body model with real fish swimming motion. The swimming efficiency of the fish model under parallel swimming was obtained from the calculated surrounding fluid force and compared for different neighboring distances. The flow field around the fish model was also examined. The swimming efficiency of two fish models swimming parallelly was improved by approximately 10% when they were separated by a distance of 0.4L, where L is the total length of the model. In addition, the flow field behind the fish body was examined under both inphase and antiphase conditions and at inter-individual distances of 0.8L and 1.2L. The apparent flow speed in the distance range of 0.5–2.0L from the midpoint of the snouts of the two individuals was lower than the swimming speed. The pressure distribution on the fish model showed an elevated pressure at the caudal fin. Interestingly, we obtained an isopleth map similar to that of a caudal peduncle. To avoid a negative thrust, the aft part of the body must be thin, as shown in the isopleth map obtained in this study. |
format | Online Article Text |
id | pubmed-8092777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80927772021-05-07 Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method Doi, Keisuke Takagi, Tsutomu Mitsunaga, Yasushi Torisawa, Shinsuke PLoS One Research Article Fish form schools because of many possible reasons. However, the hydrodynamic mechanism whereby the energy efficiency of fish schools is improved still remains unclear. There are limited examples of fish models based on actual swimming movements using simulation, and the movements in existing models are simple. Therefore, in this study, we analyzed the swimming behavior of Biwa salmon (Oncorhynchus sp., a salmonid fish) using image analyses and formulated its swimming motion. Moreover, computational fluid dynamics analysis was carried out using the formulated swimming motion to determine the fluid force acting on the fish body model with real fish swimming motion. The swimming efficiency of the fish model under parallel swimming was obtained from the calculated surrounding fluid force and compared for different neighboring distances. The flow field around the fish model was also examined. The swimming efficiency of two fish models swimming parallelly was improved by approximately 10% when they were separated by a distance of 0.4L, where L is the total length of the model. In addition, the flow field behind the fish body was examined under both inphase and antiphase conditions and at inter-individual distances of 0.8L and 1.2L. The apparent flow speed in the distance range of 0.5–2.0L from the midpoint of the snouts of the two individuals was lower than the swimming speed. The pressure distribution on the fish model showed an elevated pressure at the caudal fin. Interestingly, we obtained an isopleth map similar to that of a caudal peduncle. To avoid a negative thrust, the aft part of the body must be thin, as shown in the isopleth map obtained in this study. Public Library of Science 2021-05-03 /pmc/articles/PMC8092777/ /pubmed/33939762 http://dx.doi.org/10.1371/journal.pone.0250837 Text en © 2021 Doi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Doi, Keisuke Takagi, Tsutomu Mitsunaga, Yasushi Torisawa, Shinsuke Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title | Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title_full | Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title_fullStr | Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title_full_unstemmed | Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title_short | Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
title_sort | hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092777/ https://www.ncbi.nlm.nih.gov/pubmed/33939762 http://dx.doi.org/10.1371/journal.pone.0250837 |
work_keys_str_mv | AT doikeisuke hydrodynamicaleffectofparallellyswimmingfishusingcomputationalfluiddynamicsmethod AT takagitsutomu hydrodynamicaleffectofparallellyswimmingfishusingcomputationalfluiddynamicsmethod AT mitsunagayasushi hydrodynamicaleffectofparallellyswimmingfishusingcomputationalfluiddynamicsmethod AT torisawashinsuke hydrodynamicaleffectofparallellyswimmingfishusingcomputationalfluiddynamicsmethod |