Journal
MATERIALS
Volume 14, Issue 18, Pages -Publisher
MDPI
DOI: 10.3390/ma14185378
Keywords
bioinspired designs; dermal armor; fish scales; flexible composites; finite element analysis
Categories
Funding
- McNair Scholars Program
- Office of Naval Research [N00014-21-1-2604]
- 3M
Ask authors/readers for more resources
Study of fish scales can replicate their flexibility and puncture resistance, focusing on complex interactions between overlapping scales and modeling the transition from linear to nonlinear behavior. Geometric analysis helps predict scale flexibility, validated through finite element analysis for efficient optimization of scale-like designs.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available