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September 10, 2025

Poisson’s Ratio Control in Auxetic Metamaterials Under Large Tensile Strains

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Overview

This study demonstrates a data-driven framework to design auxetic materials, optimizing their Poisson's ratio behavior under large strains.

Key Points

  • The data-driven framework effectively optimizes the Poisson's ratio in auxetic materials under large tensile strains, enhancing design flexibility.
  • Using a parametric finite element model and machine learning, the framework predicts Poisson's ratio behavior with high accuracy.
  • Physical testing of optimized 3D-printed specimens aligns closely with predictions, validating the effectiveness of the design framework.
  • This approach may revolutionize applications of auxetic materials in fields like soft robotics and adaptive structures.

Cite This Study

A 2025 study studied this question.

synapsesocial.com/papers/68c1ae7754b1d3bfb60e6a7ehttps://doi.org/10.52843/cassyni.6q4hc8
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Improved evaluation of Poisson’s ratio in 3D-printed auxetic metamaterials using finite element and experimental methods2026
  2. 2Design and characterisation of auxetic lattice with controlled transitions to near-zero Poisson’s ratio2026
  3. 3Design and characterisation of auxetic lattice with controlled transitions to near-zero Poisson’s ratio2026
  4. 4Programmable 3D metamaterials with tailored Poisson's ratios over large deformation2024 · 1 citations
  5. 5Structure-negative poisson's ratio analysis and optimization in a novel additively manufactured polymeric hybrid auxetic metastructure via 3D printing, finite element analysis, and machine learning2025