Banerjee Hritwick, Sivaperuman Kalairaj Manivannan, Chang Ting-Hsiang, Fu Fanfan, Chen Po-Yen, Ren Hongliang
Department of Biomedical Engineering and Faculty of Engineering, National University of Singapore, Singapore, Singapore.
Department of Chemical and Biomolecular Engineering, Faculty of Engineering, National University of Singapore, Singapore, Singapore.
Soft Robot. 2022 Feb;9(1):98-118. doi: 10.1089/soro.2020.0003. Epub 2021 Mar 24.
Flame-retardant coatings are crucial for intelligent systems operating in high-temperature (300-800°C) scenarios, which typically involve multi-joint discrete or continuous kinematic systems. These multi-segment motion generation systems call for conformable yet resilient skin for dexterous work, including firefighting, packaging inflammable substances, encapsulating energy storage devices, and preventing from burning. In fire scenes, a flame-retardant soft robot shall protect integrated electronic components safely and work for navigation and surveillance effectively. Here, we establish fire-resistant robotic mechanisms with montmorillonite (MMT)-biocompatible hydrogel skin, offering effective flame retardancy (∼78°C surface temperature after 3 min in fire) and high post-fire stretchability (∼360% uniaxial tensile strain). Fatigue test results in the MMT-hydrogel polymer matrix to portray a change in post-fire energy consumption of ∼21% (between the first cycle and the 200th cycle), further indicating robustness. MMT-hydrogel synthetic skin medium is then applied to everyday household items and electronics, offering appealing protections in fire scenes (≤10% capacitance loss after 3 min and ≤14% diode light-intensity loss after 1 min in fire). We deploy shape memory alloy (SMA) actuated inchworm-, starfish-, and snail-like locomotion (average velocity ∼12 mm·min) for translating inside fire applications. With the stretchable and flame-retardant translucent barriers, the MMT-hydrogel skinned soft robots demonstrate stable compression/relaxation cycles (25 cycles) within flames (4 min 10 s) while protecting the electronic components inside in fire scene. We solve the agility vs. endurance conundrum in this article with SMA actuation independently via Joule heating without a cross-talk from the surrounding high-temperature arena.
阻燃涂层对于在高温(300 - 800°C)场景下运行的智能系统至关重要,这些场景通常涉及多关节离散或连续运动系统。这些多段运动生成系统需要贴合且有弹性的外皮来进行灵巧作业,包括消防、包装易燃物质、封装储能设备以及防火。在火灾场景中,阻燃软机器人应能安全保护集成电子元件,并有效地进行导航和监测。在此,我们用蒙脱石(MMT) - 生物相容性水凝胶外皮建立了耐火机器人机制,其具有有效的阻燃性(在火中3分钟后表面温度约为78°C)和高的火灾后拉伸性(约360%的单轴拉伸应变)。MMT - 水凝胶聚合物基体的疲劳测试结果表明,火灾后能量消耗在第一个循环和第200个循环之间变化约21%,进一步表明了其稳健性。然后,MMT - 水凝胶合成皮肤介质被应用于日常家居用品和电子产品,在火灾场景中提供了有吸引力的保护(火中3分钟后电容损失≤10%,火中1分钟后二极管光强损失≤14%)。我们部署形状记忆合金(SMA)驱动的尺蠖状、海星状和蜗牛状运动(平均速度约为12 mm·min)以便在火灾应用中进行内部移动。借助可拉伸且阻燃的半透明屏障,带有MMT - 水凝胶外皮的软机器人在火焰中(4分10秒)展示了稳定的压缩/松弛循环(25个循环),同时在火灾场景中保护内部的电子元件。在本文中,我们通过SMA独立地经由焦耳热驱动解决了敏捷性与耐久性的难题,且不受周围高温环境的串扰。