Table · dataset · 2026
Tailoring stiffness and energy absorption in hybrid re-entrant and S-shaped lattice structures
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<p>Auxetic metamaterials are engineered architectures characterized by a negative Poisson’s ratio (NPR), exhibiting the unconventional property of lateral expansion under tension and contraction under compression.
Description
While configurations such as re-entrant, chiral, and star-shaped unit cells offer advantages like increased shear modulus and enhanced fracture toughness, the widely utilized re-entrant unit cell faces critical limitations, including severe localized stress concentrations that can lead to premature structural failure.
To address these challenges, this study investigates a novel class of hybrid auxetic metamaterials that integrate high-stiffness re-entrant unit cells with curvature-based S-shaped cells designed to redistribute localized loads. Utilizing fused filament fabrication, fourteen distinct lattice configurations were fabricated to examine the influence of unit-cell proportions, cross-linking topologies (Type 1 and Type 2), and spatial column distributions (centralized vs. distributed).
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Experimental compression tests, validated by finite element analysis, demonstrate that hybridization effectively overcomes the individual limitations of the parent geometries. The results reveal that balanced hybrid architectures provide a synergistic mechanical response, with the R3S2T2C configuration achieving a peak specific energy absorption of 3.59 J/g, which is 66% higher than that of the monolithic re-entrant lattice.
Furthermore, the study identifies that Type 2 cross-linking and centralized re-entrant core arrangements stabilize the plateau regime while delaying the onset of densification. By quantifying the tradeoffs between initial stiffness, mean crushing stress, and NPR stability, this research provides a comprehensive design framework for the development of tunable, high-performance auxetic lattices for aerospace structures, impact protection systems, and adaptive medical devices.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.33940582.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Energy · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Biomedical engineering 72%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33940582 | 12 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |