Programming Multistable Metamaterials to Discover Latent Functionalities
Abstract 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 t...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-11-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202202883 |
| _version_ | 1811179898510770176 |
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| author | Hossein Mofatteh Benyamin Shahryari Armin Mirabolghasemi Alireza Seyedkanani Razieh Shirzadkhani Gilles Desharnais Abdolhamid Akbarzadeh |
| author_facet | Hossein Mofatteh Benyamin Shahryari Armin Mirabolghasemi Alireza Seyedkanani Razieh Shirzadkhani Gilles Desharnais Abdolhamid Akbarzadeh |
| author_sort | Hossein Mofatteh |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-11T06:41:28Z |
| format | Article |
| id | doaj.art-67c002c6a36e43e38d1993fd46186a61 |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-04-11T06:41:28Z |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-67c002c6a36e43e38d1993fd46186a612022-12-22T04:39:30ZengWileyAdvanced Science2198-38442022-11-01933n/an/a10.1002/advs.202202883Programming Multistable Metamaterials to Discover Latent FunctionalitiesHossein Mofatteh0Benyamin Shahryari1Armin Mirabolghasemi2Alireza Seyedkanani3Razieh Shirzadkhani4Gilles Desharnais5Abdolhamid Akbarzadeh6Department of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaDepartment of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaDepartment of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaDepartment of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaDepartment of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaAxis Prototypes Montreal QC H1P 3C1 CanadaDepartment of Bioresource Engineering McGill University Montreal QC H9X 3V9 CanadaAbstract 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.https://doi.org/10.1002/advs.202202883continuous pathmechanical memory/sensormultistable chainprogrammable metamaterialtunable chiral metamaterial |
| spellingShingle | Hossein Mofatteh Benyamin Shahryari Armin Mirabolghasemi Alireza Seyedkanani Razieh Shirzadkhani Gilles Desharnais Abdolhamid Akbarzadeh Programming Multistable Metamaterials to Discover Latent Functionalities Advanced Science continuous path mechanical memory/sensor multistable chain programmable metamaterial tunable chiral metamaterial |
| 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 | continuous path mechanical memory/sensor multistable chain programmable metamaterial tunable chiral metamaterial |
| url | https://doi.org/10.1002/advs.202202883 |
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