可视化温度自感知热响应型柔性致动器制备及性能研究

Preparation and performance investigation of visual-temperature self-perception thermally responsive soft actuators

  • 摘要: 近年来,基于热刺激响应的柔性致动器因其小型化、轻量化的特点,在可穿戴设备和软体机器人等领域受到了广泛关注。然而,现有的热响应型柔性致动器大多缺乏自感知能力,只能依赖外置传感模块来检测温度,不仅增加了信号的延迟,还破坏了致动器原本紧凑的结构,极大地限制了其实际应用。为此,我们提出了一种集成温度自感知功能的双层柔性致动器制备策略。以PDMS(聚二甲基硅氧烷)和GO(氧化石墨烯)分别作为主动层和被动层,通过简单的旋涂工艺构建双层结构,同时利用原位化学拓扑聚合的PDA-Zn2+作为热致变色层,为致动器集成宽范围的可视化温度感知能力。所制备的柔性致动器具有优异的热驱动性能和热致变色性能,在温度从40℃升高至120℃时,最大变形曲率可达1.65 cm−1,色坐标从(0.27, 0.27)迁移至(0.41, 0.32)。此外,基于所制备的柔性致动器开发了一种仿生变色花,展现了热响应驱动和可视化温度自感知的完美集成,为智能柔性致动器的开发和应用提供了新的思路。

     

    Abstract: In recent years, thermally responsive soft actuators have attracted considerable attention in the fields of wearable devices and soft robotics due to their miniaturized and lightweight characteristics. However, most existing thermally responsive soft actuators lack self-perception capabilities and depend on external sensing modules for temperature detection. This reliance not only introduces signal latency but also compromises the originally compact structure of the actuators, significantly limiting their practical applications. To address this challenge, we propose a fabrication strategy for a bilayer soft actuator that integrates autonomous temperature perception. Utilizing PDMS(Polydimethylsiloxane) and GO(Graphene oxide) as the active and passive layers respectively, we constructed a bilayer structure through a straightforward spin-coating process. Concurrently, an in-situ chemically polymerized PDA-Zn2+ thermochromic layer was incorporated to endow the actuator with broad-range visual temperature perception. The fabricated soft actuator demonstrates exceptional thermal actuation performance along with notable thermochromic properties, achieving a maximum bending curvature of 1.65 cm−1 as the temperature increases from 40℃ to 120℃, accompanied by a chromaticity shift from (0.27, 0.27) to (0.41, 0.32). Furthermore, we developed a biomimetic color-changing flower based on the fabricated actuator, showcasing seamless integration of thermal-responsive actuation with visual temperature self-perception. This work provides new insights into the development and application of intelligent soft actuators.

     

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