4.7 Article

Scalable 3D printing for topological mechanical metamaterials

期刊

EXTREME MECHANICS LETTERS
卷 57, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.eml.2022.101911

关键词

Topological softness; Ball-and-spring networks; Additive manufacturing

资金

  1. Engineering and Physical Sciences Research Council (EPSRC) through New Investigator Award [EP/T000961/1]
  2. Royal Society, United Kingdom [RGS/R2/202135]

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This study explores the topological structures of single-material 3D prints by translating a ball-and-spring model into a physical prototype. The findings show that the surfaces of the printed solid are consistently softer than the bulk, but the softest side can vary contrary to the predictions. Finite-element simulations reveal the influence of printing geometry and deformation amplitude on surface softness.
Mechanical metamaterials are structures designed to exhibit an exotic response, such as topological soft modes at a surface. Here we explore single-material 3D prints of these topological structures by translating a ball-and-spring model into a physical prototype. By uniaxially compressing the 3D -printed solid having marginal rigidity, we observe that the surfaces are consistently softer than the bulk. However, we also find that either of two opposite surfaces can be the softest, in contrast to the topologically robust predictions of the linear model. Finite-element simulations allow us to bridge this gap. We explore how the printing geometry and deformation amplitude could affect surface softness. For small strains, we find qualitative agreement with the ball-and-spring model but, surprisingly, nonlinear deformations can select which side is softest. Our work contextualizes the predictions of topological mechanics for real 3D materials and their potential for cushioning applications.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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