论文标题
机械逻辑的折纸超材料的判别过渡序列
Discriminative transition sequences of origami metamaterials for mechano-logic
论文作者
论文摘要
已经利用了各种功能和应用,例如光谱差距,冲击能量诱捕和波动转向,已利用结构中多稳定性的过渡。但是,尚未获得对过渡的基本和全面的理解,即准静态或动态过渡,尚未获得,尤其是在序列可预测性和裁缝机制方面。这项研究利用堆叠的Miura-ori-Variant(SMOV)结构,具有出色的多性性和形状的重构性作为平台,揭示了准静态和动态过渡的深刻知识,并开拓了相应的多功能性形成和机械逻辑的多功能性形成和调整。通过理论,数值和实验手段,发现了判别和确定性的准静态过渡序列,包括可逆和不可逆的序列,它们构成了在调整设计参数时可编辑的过渡图。通过应用动态激发并调整激发条件,所有稳定配置之间的可逆过渡都可以实现,从而生成完全连接的过渡图。从准静态和动态过渡的非线性中受益,可以实现基本和复合机械逻辑门。该方案的多功能性是通过使用单个SMOV结构来实现不同复杂逻辑操作而不增加结构复杂性的,显示出其出色的计算能力并激发了有效的体力智能的途径的多功能性。
Transitions of multistability in structures have been exploited for various functions and applications, such as spectral gap tuning, impact energy trapping, and wave steering. However, a fundamental and comprehensive understanding of the transitions, either quasi-static or dynamic transitions, has not yet been acquired, especially in terms of the sequence predictability and tailoring mechanisms. This research, utilizing the stacked Miura-ori-variant (SMOV) structure that has exceptional multistability and shape reconfigurability as a platform, uncovers the deep knowledge of quasi-static and dynamic transitions, and pioneers the corresponding versatile formation and tuning of mechanical logic gates. Through theoretical, numerical, and experimental means, discriminative and deterministic quasi-static transition sequences, including reversible and irreversible ones, are uncovered, where they constitute a transition map that is editable upon adjusting the design parameters. Via applying dynamic excitations and tailoring the excitation conditions, reversible transitions between all stable configurations become attainable, generating a fully-connected transition map. Benefiting from the nonlinearity of the quasi-static and dynamic transitions, basic and compound mechanical logic gates are achieved. The versatility of the scheme is demonstrated by employing a single SMOV structure to realize different complex logic operations without increasing structural complexity, showing its superior computing power and inspiring the avenue for efficient physical intelligence.