Scalable 3D printing for topological mechanical metamaterials

TL;DR

This study demonstrates scalable 3D printing of topological mechanical metamaterials, revealing how nonlinear deformations influence surface softness and challenging linear model predictions, with implications for cushioning applications.

Contribution

It translates topological models into physical prototypes and explores how geometry and deformation affect surface softness in 3D-printed structures.

Findings

Surface softness varies with deformation and geometry.

Nonlinear deformations can invert which surface is softest.

Finite-element simulations help explain experimental observations.

Abstract

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.