外观
论文arXiv 2312.038662023-12-06
仿壁虎层压结构实现14.4倍刚度调节，仅需秒级脉冲触发
本文由 AI 根据公开内容整理，可能有误，请以原文为准：Dynamically Reprogrammable Stiffness in Gecko-Inspired Laminated Structures（arXiv 2312.03866）
核心内容
针对现有变刚度技术需持续供能或耦合大变形的问题，arXiv论文提出一种仿壁虎干粘附可逆层压结构。该方案利用静电或磁致动在约1s内完成刚度重编程，所有刚度状态均被动维持无需耗能。实验验证铰链具备多达4个独立于形状重构的被动保持状态，实测刚度调制比最高达14.4，为航空航天及机器人自适应结构提供低功耗新范式。
技术核心在于通过仿壁虎干粘附界面实现刚性材料的可逆层合，将刚度调节与几何构型解耦。研究建立了最大化刚度调制的设计准则，仿真显示理论调制比至少可达73.0，远超当前实验值，表明性能仍有巨大提升空间。该机制避免了传统变刚度关节对连续电源的依赖，简化了控制系统架构，特别适用于对能效和重量敏感的移动机器人与飞行器末端执行器设计。
关键看点
- 被动保持机制：利用仿壁虎干粘附实现层压结构自锁，多刚度状态零功耗维持，仅切换时消耗能量
- 刚度调制性能：实验测得最大刚度调制比14.4，仿真预测上限超73，支持最多4个离散刚度档位
- 快速重编程：采用静电或磁驱动触发界面粘附状态变更，单次刚度切换响应时间约为1秒
- 机电解耦设计：刚度调节完全独立于结构几何变形，避免传统变刚度机构中形状与刚度的强耦合
工程与产业观察
该仿壁虎层压技术解决了变刚度机构“高能耗”与“大变形耦合”的工程痛点，为机器人轻量化柔性关节提供新思路。其被动保持特性契合具身智能终端长续航需求，14.4倍实测调制比已具备工程验证价值，仿真73倍潜力提示材料界面优化是下一阶段研发重点，有望重塑自适应抓取与缓冲系统设计范式。
英文摘要 (Abstract)
Adaptive structures are of interest for their ability to dynamically modify mechanical properties post fabrication, enabling structural performance that is responsive to environmental uncertainty and changing loading conditions. Dynamic control of stiffness is of particular importance as a fundamental structural property, impacting both static and dynamic structural performance. However, existing technologies necessitate continuous power to maintain multiple stiffness states or couple stiffness modulation to a large geometric reconfiguration. In this work, reversible lamination of stiff materials using Gecko-inspired dry adhesives is leveraged for bending stiffness control. All stiffness states are passively maintained, with electrostatic or magnetic actuation applied for ~1s to reprogram stiffness. We demonstrate hinges with up to four passively maintained reprogrammable states decoupled from any shape reconfiguration. Design guidelines are developed for maximizing stiffness modulation. Experimentally, the proposed method achieved a stiffness modulation ratio of up to 14.4, with simulations showing stiffness modulation ratios of at least 73.0. It is anticipated that the stiffness reprogramming method developed in this work will reduce energy requirements and design complexity for adaptation in aerospace and robotics applications.
作者：Kai Jun Chen, Maria Sakovsky
来源
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