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基于刺激响应材料的智能摩擦纳米发电机:从智能应用到自供电系统

Smart Triboelectric Nanogenerators Based on Stimulus-Response Materials: From Intelligent Applications to Self-Powered Systems.

作者信息

Wang Xueqing, Qin Qinghao, Lu Yin, Mi Yajun, Meng Jiajing, Zhao Zequan, Wu Han, Cao Xia, Wang Ning

机构信息

Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.

Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China.

出版信息

Nanomaterials (Basel). 2023 Apr 8;13(8):1316. doi: 10.3390/nano13081316.

Abstract

Smart responsive materials can react to external stimuli via a reversible mechanism and can be directly combined with a triboelectric nanogenerator (TENG) to deliver various intelligent applications, such as sensors, actuators, robots, artificial muscles, and controlled drug delivery. Not only that, mechanical energy in the reversible response of innovative materials can be scavenged and transformed into decipherable electrical signals. Because of the high dependence of amplitude and frequency on environmental stimuli, self-powered intelligent systems may be thus built and present an immediate response to stress, electrical current, temperature, magnetic field, or even chemical compounds. This review summarizes the recent research progress of smart TENGs based on stimulus-response materials. After briefly introducing the working principle of TENG, we discuss the implementation of smart materials in TENGs with a classification of several sub-groups: shape-memory alloy, piezoelectric materials, magneto-rheological, and electro-rheological materials. While we focus on their design strategy and function collaboration, applications in robots, clinical treatment, and sensors are described in detail to show the versatility and promising future of smart TNEGs. In the end, challenges and outlooks in this field are highlighted, with an aim to promote the integration of varied advanced intelligent technologies into compact, diverse functional packages in a self-powered mode.

摘要

智能响应材料能够通过可逆机制对外界刺激做出反应,并可直接与摩擦纳米发电机(TENG)相结合,以实现各种智能应用,如传感器、致动器、机器人、人造肌肉和可控药物递送。不仅如此,创新材料可逆响应中的机械能能够被收集并转化为可解读的电信号。由于幅度和频率对环境刺激高度依赖,因此可以构建自供电智能系统,并使其对应力、电流、温度、磁场甚至化合物做出即时响应。本文综述了基于刺激响应材料的智能TENG的最新研究进展。在简要介绍TENG的工作原理后,我们按照形状记忆合金、压电材料、磁流变和电流变材料等几个子类别,讨论了智能材料在TENG中的应用。在关注其设计策略和功能协作的同时,还详细描述了其在机器人、临床治疗和传感器方面的应用,以展示智能TNEG的多功能性和广阔前景。最后,强调了该领域的挑战和展望,旨在推动将各种先进智能技术以自供电模式集成到紧凑、多样的功能组件中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e45/10141953/45121b70e17f/nanomaterials-13-01316-g001.jpg

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