Reprogrammable allosteric metamaterials from disordered networks
Reprogrammable allosteric metamaterials from disordered networks
复制标题
来自无序网络的可重编程变构超材料
DOI：
10.1039/d2sm01284g
复制
发表时间：
2023
期刊：
影响因子：
3.4
通讯作者：
Kramer-Bottiglio, Rebecca
中科院分区：
文献类型：
--
作者：
Pashine, Nidhi;Nasab, Amir Mohammadi;Kramer-Bottiglio, Rebecca
以前对无序的机械超材料网络--由离散的键连接的固定节点组成--的研究表明，伸展和变构响应可以通过从最初的随机网络中剪除一组特定的键来实现。然而，债券削减是不可逆转的，会产生单一的整体反应。利用材料的刚性作为一个可调的设计参数，我们创建了超材料网络，其中实现了变构响应，而不需要去除键。这样的系统是通过可变刚度粘结在实验中实现的，这种粘结可以按需加强和削弱。在具有可变刚性键的无序机械网络中，可以战略性地软化不同的键子集以实现不同的整体响应，从而实现多种可重新编程的输入/输出变构响应。
Prior works on disordered mechanical metamaterial networks—consisting of fixed nodes connected by discrete bonds—have shown that auxetic and allosteric responses can be achieved by pruning a specific set of the bonds from an originally random network. However, bond pruning is irreversible and yields a single bulk response. Using material stiffness as a tunable design parameter, we create metamaterial networks where allosteric responses are achieved without bond removal. Such systems are experimentally realized through variable stiffness bonds that can strengthen and weaken on-demand. In a disordered mechanical network with variable stiffness bonds, different subsets of bonds can be strategically softened to achieve different bulk responses, enabling a multiplicity of reprogrammable input/output allosteric responses.