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Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach

Fish scales serve as a natural dermal armor with remarkable flexibility and puncture resistance. Through studying fish scales, researchers can replicate these properties and tune them by adjusting their design parameters to create biomimetic scales. Overlapping scales, as seen in elasmoid scales, ca...

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Autores principales: Chen, Ailin, Thind, Komal, Demir, Kahraman G., Gu, Grace X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467489/
https://www.ncbi.nlm.nih.gov/pubmed/34576605
http://dx.doi.org/10.3390/ma14185378
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author Chen, Ailin
Thind, Komal
Demir, Kahraman G.
Gu, Grace X.
author_facet Chen, Ailin
Thind, Komal
Demir, Kahraman G.
Gu, Grace X.
author_sort Chen, Ailin
collection PubMed
description Fish scales serve as a natural dermal armor with remarkable flexibility and puncture resistance. Through studying fish scales, researchers can replicate these properties and tune them by adjusting their design parameters to create biomimetic scales. Overlapping scales, as seen in elasmoid scales, can lead to complex interactions between each scale. These interactions are able to maintain the stiffness of the fish’s structure with improved flexibility. Hence, it is important to understand these interactions in order to design biomimetic fish scales. Modeling the flexibility of fish scales, when subject to shear loading across a substrate, requires accounting for nonlinear relations. Current studies focus on characterizing these kinematic linear and nonlinear regions but fall short in modeling the kinematic phase shift. Here, we propose an approach that will predict when the linear-to-nonlinear transition will occur, allowing for more control of the overall behavior of the fish scale structure. Using a geometric analysis of the interacting scales, we can model the flexibility at the transition point where the scales start to engage in a nonlinear manner. The validity of these geometric predictions is investigated through finite element analysis. This investigation will allow for efficient optimization of scale-like designs and can be applied to various applications.
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spelling pubmed-84674892021-09-27 Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach Chen, Ailin Thind, Komal Demir, Kahraman G. Gu, Grace X. Materials (Basel) Article Fish scales serve as a natural dermal armor with remarkable flexibility and puncture resistance. Through studying fish scales, researchers can replicate these properties and tune them by adjusting their design parameters to create biomimetic scales. Overlapping scales, as seen in elasmoid scales, can lead to complex interactions between each scale. These interactions are able to maintain the stiffness of the fish’s structure with improved flexibility. Hence, it is important to understand these interactions in order to design biomimetic fish scales. Modeling the flexibility of fish scales, when subject to shear loading across a substrate, requires accounting for nonlinear relations. Current studies focus on characterizing these kinematic linear and nonlinear regions but fall short in modeling the kinematic phase shift. Here, we propose an approach that will predict when the linear-to-nonlinear transition will occur, allowing for more control of the overall behavior of the fish scale structure. Using a geometric analysis of the interacting scales, we can model the flexibility at the transition point where the scales start to engage in a nonlinear manner. The validity of these geometric predictions is investigated through finite element analysis. This investigation will allow for efficient optimization of scale-like designs and can be applied to various applications. MDPI 2021-09-17 /pmc/articles/PMC8467489/ /pubmed/34576605 http://dx.doi.org/10.3390/ma14185378 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Ailin
Thind, Komal
Demir, Kahraman G.
Gu, Grace X.
Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title_full Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title_fullStr Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title_full_unstemmed Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title_short Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach
title_sort modeling bioinspired fish scale designs via a geometric and numerical approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467489/
https://www.ncbi.nlm.nih.gov/pubmed/34576605
http://dx.doi.org/10.3390/ma14185378
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