Soft mechanical metamaterials with transformable topology protected by stress caching
Autor: | Jolly, Jason Christopher, Jin, Binjie, Jin, Lishuai, Lee, YoungJoo, Xie, Tao, Gonella, Stefano, Sun, Kai, Mao, Xiaoming, Yang, Shu |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Jolly, J. C., Jin, B., Jin, L., Lee, Y., Xie, T., Gonella, S., Sun, K., Mao, X., Yang, S., Soft Mechanical Metamaterials with Transformable Topology Protected by Stress Caching. Adv. Sci. 2023, 2302475 |
Druh dokumentu: | Working Paper |
DOI: | 10.1002/advs.202302475 |
Popis: | Maxwell lattice metamaterials possess a rich phase space with distinct topological states featuring mechanically polarized edge behaviors and strongly asymmetric acoustic responses. Until now, demonstrations of non-trivial topological behaviors from Maxwell lattices have been limited to either monoliths with locked configurations or reconfigurable mechanical linkages. This work introduces a transformable topological mechanical metamaterial (TTMM) made from a shape memory polymer and based on a generalized kagome lattice. It is capable of reversibly exploring topologically distinct phases of the non-trivial phase space via a kinematic strategy that converts sparse mechanical inputs at free edge pairs into a biaxial, global transformation that switches its topological state. Thanks to the shape memory effect, all configurations are stable even in the absence of confinement or a continuous mechanical input. Topologically-protected mechanical behaviors, while robust against structural (with broken hinges) or conformational defects (up to ~55% mis-rotations), are shown to be vulnerable to the adverse effects of stored elastic energy from prior transformations (up to a ~70% reduction in edge stiffness ratios, depending on hinge width). Interestingly, we show that shape memory polymer's intrinsic phase transitions that modulate chain mobility can effectively shield a dynamic metamaterial's topological response (with a 100% recovery) from its own kinematic stress history, an effect we refer to as "stress caching". Comment: 21 pages, 21 figures |
Databáze: | arXiv |
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