Mei Tie, Meng Zhiqiang, Zhao Kejie, Chen Chang Qing
Department of Engineering Mechanics, CNMM and AML, Tsinghua University, 100084, Beijing, PR China.
School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Nat Commun. 2021 Dec 13;12(1):7234. doi: 10.1038/s41467-021-27608-7.
Embedding mechanical logic into soft robotics, microelectromechanical systems (MEMS), and robotic materials can greatly improve their functional capacity. However, such logical functions are usually pre-programmed and can hardly be altered during in-life service, limiting their applications under varying working conditions. Here, we propose a reprogrammable mechanological metamaterial (ReMM). Logical computing is achieved by imposing sequential excitations. The system can be initialized and reprogrammed via selectively imposing and releasing the excitations. Realization of universal combinatorial logic and sequential logic (memory) is demonstrated experimentally and numerically. The fabrication scalability of the system is also discussed. We expect the ReMM can serve as a platform for constructing reusable and multifunctional mechanical systems with strong computation and information processing capability.
将机械逻辑嵌入软体机器人、微机电系统(MEMS)和机器人材料中,可以极大地提高它们的功能能力。然而,这种逻辑功能通常是预先编程的,在实际使用过程中很难改变,这限制了它们在不同工作条件下的应用。在此,我们提出了一种可重新编程的机械超材料(ReMM)。通过施加顺序激励来实现逻辑计算。该系统可以通过选择性地施加和释放激励来初始化和重新编程。通过实验和数值模拟证明了通用组合逻辑和时序逻辑(存储器)的实现。还讨论了该系统的制造可扩展性。我们期望ReMM能够作为一个平台,用于构建具有强大计算和信息处理能力的可重复使用的多功能机械系统。