Cargando…

Programming Multistable Metamaterials to Discover Latent Functionalities

Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? Second, how can mechanical properties be tuned at the post‐f...

Descripción completa

Detalles Bibliográficos
Autores principales: Mofatteh, Hossein, Shahryari, Benyamin, Mirabolghasemi, Armin, Seyedkanani, Alireza, Shirzadkhani, Razieh, Desharnais, Gilles, Akbarzadeh, Abdolhamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685460/
https://www.ncbi.nlm.nih.gov/pubmed/36253119
http://dx.doi.org/10.1002/advs.202202883
_version_ 1784835511002595328
author Mofatteh, Hossein
Shahryari, Benyamin
Mirabolghasemi, Armin
Seyedkanani, Alireza
Shirzadkhani, Razieh
Desharnais, Gilles
Akbarzadeh, Abdolhamid
author_facet Mofatteh, Hossein
Shahryari, Benyamin
Mirabolghasemi, Armin
Seyedkanani, Alireza
Shirzadkhani, Razieh
Desharnais, Gilles
Akbarzadeh, Abdolhamid
author_sort Mofatteh, Hossein
collection PubMed
description Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? Second, how can mechanical properties be tuned at the post‐fabrication stage via external stimuli? Answering these questions requires a thorough understanding of the snapping sequences and variations of the elastic energy in multistable metamaterials. The mechanics of deformation sequences and continuous force/energy–displacement curves are comprehensively unveiled here. A 1D array, that is chain, of bistable cells is studied to explore instability‐induced energy release and snapping sequences under one external mechanical stimulus. This method offers an insight into the programmability of multistable chains, which is exploited to fabricate a mechanical sensor/memory with sampling (analog to digital‐A/D) and data reconstruction (digital to analog‐D/A) functionalities operating based on the correlation between the deformation sequence and the mechanical input. The findings offer a new paradigm for developing programmable high‐capacity read–write mechanical memories regardless of thei size scale. Furthermore, exotic mechanical properties can be tuned by harnessing the attained programmability of multistable chains. In this respect, a transversely multistable mechanical metamaterial with tensegrity‐like bistable cells is designed to showcase the tunability of chirality.
format Online
Article
Text
id pubmed-9685460
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-96854602022-11-25 Programming Multistable Metamaterials to Discover Latent Functionalities Mofatteh, Hossein Shahryari, Benyamin Mirabolghasemi, Armin Seyedkanani, Alireza Shirzadkhani, Razieh Desharnais, Gilles Akbarzadeh, Abdolhamid Adv Sci (Weinh) Research Articles Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? Second, how can mechanical properties be tuned at the post‐fabrication stage via external stimuli? Answering these questions requires a thorough understanding of the snapping sequences and variations of the elastic energy in multistable metamaterials. The mechanics of deformation sequences and continuous force/energy–displacement curves are comprehensively unveiled here. A 1D array, that is chain, of bistable cells is studied to explore instability‐induced energy release and snapping sequences under one external mechanical stimulus. This method offers an insight into the programmability of multistable chains, which is exploited to fabricate a mechanical sensor/memory with sampling (analog to digital‐A/D) and data reconstruction (digital to analog‐D/A) functionalities operating based on the correlation between the deformation sequence and the mechanical input. The findings offer a new paradigm for developing programmable high‐capacity read–write mechanical memories regardless of thei size scale. Furthermore, exotic mechanical properties can be tuned by harnessing the attained programmability of multistable chains. In this respect, a transversely multistable mechanical metamaterial with tensegrity‐like bistable cells is designed to showcase the tunability of chirality. John Wiley and Sons Inc. 2022-10-17 /pmc/articles/PMC9685460/ /pubmed/36253119 http://dx.doi.org/10.1002/advs.202202883 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Mofatteh, Hossein
Shahryari, Benyamin
Mirabolghasemi, Armin
Seyedkanani, Alireza
Shirzadkhani, Razieh
Desharnais, Gilles
Akbarzadeh, Abdolhamid
Programming Multistable Metamaterials to Discover Latent Functionalities
title Programming Multistable Metamaterials to Discover Latent Functionalities
title_full Programming Multistable Metamaterials to Discover Latent Functionalities
title_fullStr Programming Multistable Metamaterials to Discover Latent Functionalities
title_full_unstemmed Programming Multistable Metamaterials to Discover Latent Functionalities
title_short Programming Multistable Metamaterials to Discover Latent Functionalities
title_sort programming multistable metamaterials to discover latent functionalities
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685460/
https://www.ncbi.nlm.nih.gov/pubmed/36253119
http://dx.doi.org/10.1002/advs.202202883
work_keys_str_mv AT mofattehhossein programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT shahryaribenyamin programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT mirabolghasemiarmin programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT seyedkananialireza programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT shirzadkhanirazieh programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT desharnaisgilles programmingmultistablemetamaterialstodiscoverlatentfunctionalities
AT akbarzadehabdolhamid programmingmultistablemetamaterialstodiscoverlatentfunctionalities