超材料
双稳态
机械能
神经形态工程学
计算机科学
材料科学
制作
张拉整体
机械系统
纳米技术
物理
光电子学
人工智能
工程类
结构工程
医学
量子力学
功率(物理)
人工神经网络
病理
替代医学
作者
Hossein Mofatteh,Benyamin Shahryari,Armin Mirabolghasemi,Alireza Seyedkanani,Razieh Shirzadkhani,Gilles Desharnais,Abdolhamid Akbarzadeh
出处
期刊:Advanced Science
[Wiley]
日期:2022-10-17
卷期号:9 (33): e2202883-e2202883
被引量:68
标识
DOI:10.1002/advs.202202883
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI