Literature DB >> 33473228

A reprogrammable mechanical metamaterial with stable memory.

Tian Chen1,2, Mark Pauly3, Pedro M Reis4.   

Abstract

Metamaterials are designed to realize exotic physical properties through the geometric arrangement of their underlying structural layout1,2. Traditional mechanical metamaterials achieve functionalities such as a target Poisson's ratio3 or shape transformation4-6 through unit-cell optimization7-9, often with spatial heterogeneity10-12. These functionalities are programmed into the layout of the metamaterial in a way that cannot be altered. Although recent efforts have produced means of tuning such properties post-fabrication13-19, they have not demonstrated mechanical reprogrammability analogous to that of digital devices, such as hard disk drives, in which each unit can be written to or read from in real time as required. Here we overcome this challenge by using a design framework for a tileable mechanical metamaterial with stable memory at the unit-cell level. Our design comprises an array of physical binary elements (m-bits), analogous to digital bits, with clearly delineated writing and reading phases. Each m-bit can be independently and reversibly switched between two stable states (acting as memory) using magnetic actuation to move between the equilibria of a bistable shell20-25. Under deformation, each state is associated with a distinctly different mechanical response that is fully elastic and can be reversibly cycled until the system is reprogrammed. Encoding a set of binary instructions onto the tiled array yields markedly different mechanical properties; specifically, the stiffness and strength can be made to range over an order of magnitude. We expect that the stable memory and on-demand reprogrammability of mechanical properties in this design paradigm will facilitate the development of advanced forms of mechanical metamaterials.

Year:  2021        PMID: 33473228     DOI: 10.1038/s41586-020-03123-5

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  18 in total

1.  Memory from coupled instabilities in unfolded crumpled sheets.

Authors:  Dor Shohat; Daniel Hexner; Yoav Lahini
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-06       Impact factor: 12.779

2.  Physical intelligence as a new paradigm.

Authors:  Metin Sitti
Journal:  Extreme Mech Lett       Date:  2021-04-26

Review 3.  Magnetic Soft Materials and Robots.

Authors:  Yoonho Kim; Xuanhe Zhao
Journal:  Chem Rev       Date:  2022-02-01       Impact factor: 72.087

4.  Phase-transforming metamaterial with magnetic interactions.

Authors:  Xudong Liang; Hongbo Fu; Alfred J Crosby
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-04       Impact factor: 11.205

Review 5.  Recent Progress in Active Mechanical Metamaterials and Construction Principles.

Authors:  Jixiang Qi; Zihao Chen; Peng Jiang; Wenxia Hu; Yonghuan Wang; Zeang Zhao; Xiaofei Cao; Shushan Zhang; Ran Tao; Ying Li; Daining Fang
Journal:  Adv Sci (Weinh)       Date:  2021-10-29       Impact factor: 16.806

6.  A mechanical metamaterial with reprogrammable logical functions.

Authors:  Tie Mei; Zhiqiang Meng; Kejie Zhao; Chang Qing Chen
Journal:  Nat Commun       Date:  2021-12-13       Impact factor: 14.919

7.  Complex pathways and memory in compressed corrugated sheets.

Authors:  Hadrien Bense; Martin van Hecke
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-14       Impact factor: 11.205

8.  3D-printed NIR-responsive shape memory polyurethane/magnesium scaffolds with tight-contact for robust bone regeneration.

Authors:  Yuanchi Zhang; Cairong Li; Wei Zhang; Junjie Deng; Yangyi Nie; Xiangfu Du; Ling Qin; Yuxiao Lai
Journal:  Bioact Mater       Date:  2021-12-31

9.  A Programmable Liquid Crystal Elastomer Metamaterials With Soft Elasticity.

Authors:  Xudong Liang; Dongfeng Li
Journal:  Front Robot AI       Date:  2022-02-25

10.  A Dual-Band High-Gain Subwavelength Cavity Antenna with Artificial Magnetic Conductor Metamaterial Microstructures.

Authors:  Guang Lu; Fabao Yan; Kaiyuan Zhang; Yunpeng Zhao; Lei Zhang; Ziqian Shang; Chao Diao; Xiachen Zhou
Journal:  Micromachines (Basel)       Date:  2021-12-30       Impact factor: 2.891

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