Adaptive All-Fiber Actuator for Human–Environment Interaction

IF 16 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY ACS Nano Pub Date : 2025-03-05 DOI:10.1021/acsnano.4c17638
Yufan Zhang, Tao Zhang, Yunjie Gu, Minghui Fan, Yue Zhang, Shuang Wang, Yong Xia, Xinran Zhou, Jiaqing Xiong
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Abstract

A closed-loop pathway of “efficient actuation-synchronous sensing-multimodal feedback” is crucial for actuators to adapt to complex scenarios and human–environment interactions. Strategies to reconcile mechanics-guaranteed adaptive actuation with multimodal responses and perceptivity remain challenging. Through a continuous electrospinning strategy to construct a reinforced fiber-interlocked interface, a bilayer fiber membrane (TCTR) actuator composed of highly aligned fiber and hierarchical structures is developed to obtain efficient photothermal performance (22.9 °C min–1), excellent mechanical toughness (17.9 MJ m–3), and intuitive color changes (dark purple red to bright pale yellow with lightness variation of 68). This humidity-dominated and photothermal-assisted-responsive actuator demonstrates superior actuation response (0.67 cm–1 s–1) and bending curvature (7.37 cm–1) with electro-visual cooperative perceptivity. Integrated with the actuation-triggered triboelectric self-powered sensing and synchronous thermochromic effect, the TCTR actuator can be differentially programmed to perceive material types and object temperature (with a sensitivity of 99.5%), and visualize writing paths. By optimizing fiber alignment and assembly pattern, TCTR demonstrates utility as filter material, smart mask, and electronic textile, which can sense and visualize air contamination degrees, environmental temperature, and respiratory status, as well as achieve thermal management/alarming. This work proposes materials with mechano-electrical-optical cooperation and inspires a facile strategy for human–environment interactive actuators with multiscenario adaptivity.

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用于人与环境交互的自适应全纤维致动器
“高效驱动-同步传感-多模态反馈”闭环路径是驱动器适应复杂场景和人-环境交互的关键。协调机制保证的自适应驱动与多模态响应和感知的策略仍然具有挑战性。通过连续静电纺丝策略构建增强纤维-互锁界面,研制了由高度排列的纤维和分层结构组成的双层纤维膜(TCTR)致动器,该致动器具有高效的光热性能(22.9°C min-1)、优异的机械韧性(17.9 MJ m-3)和直观的颜色变化(深紫红色到亮浅黄色,亮度变化为68)。这种湿度主导和光热辅助的响应驱动器具有优异的驱动响应(0.67 cm-1 s-1)和弯曲曲率(7.37 cm-1),具有电视觉协同感知能力。集成了驱动触发的摩擦电自供电传感和同步热致变色效应,TCTR驱动器可以通过差异编程来感知材料类型和物体温度(灵敏度为99.5%),并可视化写入路径。通过优化纤维排列和组装模式,TCTR展示了作为过滤材料、智能口罩和电子纺织品的实用性,它可以感知和可视化空气污染程度、环境温度和呼吸状态,并实现热管理/报警。本研究提出了具有机械-光电合作的材料,并激发了具有多场景适应性的人-环境交互执行器的简单策略。
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来源期刊
ACS Nano
ACS Nano 工程技术-材料科学:综合
CiteScore
26.00
自引率
4.10%
发文量
1627
审稿时长
1.7 months
期刊介绍: ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.
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