Harnessing the anisotropic multistability of stacked-origami mechanical metamaterials for effective modulus programming

Harnessing the anisotropic multistability of stacked-origami mechanical metamaterials for effective modulus programming
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DOI:
10.1177/1045389x18781040
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发表时间:
2018-06
影响因子:
2.7
通讯作者:
Sattam Sengupta;Suyi Li
Sattam Sengupta;Suyi Li
中科院分区:
材料科学3区
文献类型:
--
作者:
Sattam Sengupta;Suyi Li

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本研究研究了基于堆叠 Miura-ori 架构的机械超材料的三维各向异性多稳定性,并研究了这种独特的稳定性特性如何赋予刚度和有效的模量编程功能。由于刚性折叠和折痕材料弯曲之间的非线性关系,这种超材料的晶胞可以是双稳态的。这种双稳态具有一个非正统的性质:沿着晶胞的不同主轴,弹性稳定和不稳定平衡的排列是不同的,因此沿着某些轴,晶胞在相同的变形范围内同时表现出两种力-变形关系。因此,通过在两种稳定状态之间切换可以实现显着的刚度适应。当多个单元被组装成超材料时,刚度适应可以聚合成按需模量编程能力。也就是说,通过策略性地在稳定状态之间切换不同的晶胞,可以控制整体有效模量。本研究探讨了各向异性多稳定性的基本原理,通过实验验证了刚度自适应的可行性,并进行参数分析以揭示有效模量编程与 Miura-ori 设计之间的相关性。研究结果可以推进许多自适应系统,例如变形结构和软机器人。
This study examines a three-dimensional, anisotropic multistability of a mechanical meta material based on a stacked Miura-ori architecture, and investigates how such a unique stability property can impart stiffness and effective modulus programming functions. The unit cell of this metamaterial can be bistable due to the nonlinear relationship between rigid-folding and crease material bending. Such bistability possesses an unorthodox property: the arrangement of elastically stable and unstable equilibria are different along different principal axes of the unit cell, so that along certain axes the unit cell exhibits two force–deformation relationships concurrently within the same range of deformation. Therefore, one can achieve a notable stiffness adaptation via switching between the two stable states. As multiple unit cells are assembled into a metamaterial, the stiffness adaptation can be aggregated into an on-demand modulus programming capability. That is, via strategically switching different unit cells between stable states, one can control the overall effective modulus. This research examines the underlying principles of anisotropic multistability, experimentally validates the feasibility of stiffness adaptation, and conducts parametric analyses to reveal the correlations between the effective modulus programming and Miura-ori designs. The results can advance many adaptive systems such as morphing structures and soft robotics.