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由近红外光驱动变形和运动的仿生软驱动器

Biomimetic Soft Actuator with Deformation and Motion Driven by Near-Infrared Light.

作者信息

Li Mei, Ma Yubai

机构信息

College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China.

School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China.

出版信息

Polymers (Basel). 2025 May 12;17(10):1315. doi: 10.3390/polym17101315.

Abstract

Restricted by the inherent low sensitivity of materials and complex integration technology, it is difficult for existing soft actuators (s-actuators) to simultaneously possess the advantages of flexibility, fast response, and simple manufacturing, which greatly limits their practical applications. Herein, a stretchable (ε = 200%) nanocomposite film capable of deformation and motion driven by near infrared light (NIR) was developed using multi-walled carbon nanotubes (MWCNTs) as the light absorption-photothermal conversion nanonetwork, and liquid crystal polymer (LCP) as an elastic matrix featured reversible phase transition. Furthermore, s-actuators with various deformation and motion modes have been realized employing MWCNT/LCP nanocomposite film. Based on the mechanism that photothermal-effect-regulated liquid crystal-isotropic phase transition in LCP can induce macroscopic deformation of nanocomposites, MWCNT/LCP s-actuators have completed a series of complex deformation and motion tasks such as opening the knot, "V"-shape reversible deformation (30 s per cycle), the "spring" rotating and unfolding, imitating a "caterpillar" walking in a straight line (the average speed is 13 s/mm), etc. This work provides an effective strategy for the intelligent development of s-actuators.

摘要

受材料固有低灵敏度和复杂集成技术的限制,现有软驱动器(s-驱动器)难以同时具备灵活性、快速响应和制造简单的优点,这极大地限制了它们的实际应用。在此,以多壁碳纳米管(MWCNTs)作为光吸收-光热转换纳米网络,以液晶聚合物(LCP)作为具有可逆相变特性的弹性基体,制备了一种可拉伸(ε = 200%)的、能由近红外光(NIR)驱动变形和运动的纳米复合薄膜。此外,采用MWCNT/LCP纳米复合薄膜实现了具有各种变形和运动模式的s-驱动器。基于光热效应调节LCP中液晶-各向同性相变可诱导纳米复合材料宏观变形的机理,MWCNT/LCP s-驱动器完成了一系列复杂的变形和运动任务,如解开绳结、“V”形可逆变形(每周期30秒)、“弹簧”旋转展开、模仿“毛毛虫”直线行走(平均速度为13秒/毫米)等。这项工作为s-驱动器的智能发展提供了一种有效策略。

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