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Shrimp as a Model Organism for Bio-I...
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Oliveira Pedro dos Santos, Sara,
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Shrimp as a Model Organism for Bio-Inspired Underwater Vehicles /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Shrimp as a Model Organism for Bio-Inspired Underwater Vehicles // Sara Oliveira Pedro dos Santos.
Author:
Oliveira Pedro dos Santos, Sara,
Description:
1 electronic resource (179 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:
Dissertations Abstracts International86-11B.
Subject:
Fluid dynamics. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32007333
ISBN:
9798315752967
Shrimp as a Model Organism for Bio-Inspired Underwater Vehicles /
Oliveira Pedro dos Santos, Sara,
Shrimp as a Model Organism for Bio-Inspired Underwater Vehicles /
Sara Oliveira Pedro dos Santos. - 1 electronic resource (179 pages)
Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Metachronal locomotion, characterized by the sequential beating of appendages moving in a tail-to-head motion with a phase lag, is present across a wide range of length scales and Reynolds numbers (Re). During the power stroke, the swimming appendages move opposite the swimming direction, maximizing their surface area to generate drag-based thrust. During the recovery stroke, the profile area decreases, reducing the drag on the appendages and creating net thrust. Metachronal, drag-based swimming in shrimp has been studied to understand its ecological significance and find solutions for underwater propulsion. However, we have yet to explore many important mechanisms of shrimp swimming, especially at the single appendage scale. Here, we investigate the individual characteristics of their kinematics and morphology, including hair-bearing appendages and pleopod shape-shifting, to understand the methods of success in shrimp swimming. We designed and built a fully articulated, multi-link robotic platform, integrating the kinematics of shrimp pleopods. Its modular design allows for integrating morphological features to test any parameter of interest and is suitable for studying multi-legged systems. Using experimental techniques, we use our robotic platform to investigate the near- and far-field flow of a single beating appendage. We performed concurrent kinematics, force, and velocimetry measurements to examine the generation of drag-based thrust and lift, and the formation of vortices around one propulsor. We found that shrimp produce lift through a leading-edge vortex during the power stroke by taking advantage of the angle of incidence of their exopodite. Additionally, we found that shrimp bristles, hair-like structures on the propulsors, act like impermeable structures, increasing the effective area of the propulsor. Insights from our robotic platform can provide design guidelines for bio-inspired underwater robots, contribute to understanding the evolutionary history of metachronal swimmers, and establish a link between their adaptations and the ecosystem. Its modularity and ease of manufacturing can appeal to various disciplines and serve as a platform for understanding the biology, ecology, and engineering of metachronal swimmers. Such a comparative approach will be central to developing a general model to predict the forces generated during swimming across Reynolds numbers and species, creating a unifying theory of metachronal swimming.
English
ISBN: 9798315752967Subjects--Topical Terms:
545210
Fluid dynamics.
Subjects--Index Terms:
Locomotion
Shrimp as a Model Organism for Bio-Inspired Underwater Vehicles /
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Metachronal locomotion, characterized by the sequential beating of appendages moving in a tail-to-head motion with a phase lag, is present across a wide range of length scales and Reynolds numbers (Re). During the power stroke, the swimming appendages move opposite the swimming direction, maximizing their surface area to generate drag-based thrust. During the recovery stroke, the profile area decreases, reducing the drag on the appendages and creating net thrust. Metachronal, drag-based swimming in shrimp has been studied to understand its ecological significance and find solutions for underwater propulsion. However, we have yet to explore many important mechanisms of shrimp swimming, especially at the single appendage scale. Here, we investigate the individual characteristics of their kinematics and morphology, including hair-bearing appendages and pleopod shape-shifting, to understand the methods of success in shrimp swimming. We designed and built a fully articulated, multi-link robotic platform, integrating the kinematics of shrimp pleopods. Its modular design allows for integrating morphological features to test any parameter of interest and is suitable for studying multi-legged systems. Using experimental techniques, we use our robotic platform to investigate the near- and far-field flow of a single beating appendage. We performed concurrent kinematics, force, and velocimetry measurements to examine the generation of drag-based thrust and lift, and the formation of vortices around one propulsor. We found that shrimp produce lift through a leading-edge vortex during the power stroke by taking advantage of the angle of incidence of their exopodite. Additionally, we found that shrimp bristles, hair-like structures on the propulsors, act like impermeable structures, increasing the effective area of the propulsor. Insights from our robotic platform can provide design guidelines for bio-inspired underwater robots, contribute to understanding the evolutionary history of metachronal swimmers, and establish a link between their adaptations and the ecosystem. Its modularity and ease of manufacturing can appeal to various disciplines and serve as a platform for understanding the biology, ecology, and engineering of metachronal swimmers. Such a comparative approach will be central to developing a general model to predict the forces generated during swimming across Reynolds numbers and species, creating a unifying theory of metachronal swimming.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32007333
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