Topological transformability and reprogrammability of multistable mechanical metamaterials

Author:

Xiu Haning1ORCID,Liu Harry2ORCID,Poli Andrea3,Wan Guangchao4,Sun Kai2ORCID,Arruda Ellen M.356,Mao Xiaoming2,Chen Zi1ORCID

Affiliation:

1. Division of Thoracic and Cardiac Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115

2. Department of Physics, University of Michigan, Ann Arbor, MI 48109

3. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109

4. Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13210

5. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109

6. Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI 48109

Abstract

Concepts from quantum topological states of matter have been extensively utilized in the past decade to create mechanical metamaterials with topologically protected features, such as one-way edge states and topologically polarized elasticity. Maxwell lattices represent a class of topological mechanical metamaterials that exhibit distinct robust mechanical properties at edges/interfaces when they are topologically polarized. Realizing topological phase transitions in these materials would enable on-and-off switching of these edge states, opening opportunities to program mechanical response and wave propagation. However, such transitions are extremely challenging to experimentally control in Maxwell topological metamaterials due to mechanical and geometric constraints. Here we create a Maxwell lattice with bistable units to implement synchronized transitions between topological states and demonstrate dramatically different stiffnesses as the lattice transforms between topological phases both theoretically and experimentally. By combining multistability with topological phase transitions, this metamaterial not only exhibits topologically protected mechanical properties that swiftly and reversibly change, but also offers a rich design space for innovating mechanical computing architectures and reprogrammable neuromorphic metamaterials. Moreover, we design and fabricate a topological Maxwell lattice using multimaterial 3D printing and demonstrate the potential for miniaturization via additive manufacturing. These design principles are applicable to transformable topological metamaterials for a variety of tasks such as switchable energy absorption, impact mitigation, wave tailoring, neuromorphic metamaterials, and controlled morphing systems.

Funder

DOD | USN | Office of Naval Research

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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