Suppr超能文献

3D打印诱导的具有卓越多向应变传感性能的分层排列纳米复合材料。

3D Printing-Induced Hierarchically Aligned Nanocomposites With Exceptional Multidirectional Strain Sensing Performance.

作者信息

Liu Yanjun, Wang Zhenyu, Song Xinyu, Shen Xi, Wei Yi, Hua Chenxi, Shao Pengpeng, Qu Daopeng, Jiang Jing, Liu Yu

机构信息

School of Mechanical Engineering, Jiangnan University, Wuxi, 214122, China.

Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, 214122, China.

出版信息

Small. 2024 Dec;20(49):e2404810. doi: 10.1002/smll.202404810. Epub 2024 Sep 10.

Abstract

High-performance sensors capable of detecting multidirectional strains are indispensable to understand the complex motions involved in flexible electronics. Conventional isotropic strain sensors can only measure uniaxial deformations or single stimuli, hindering their practical application fields. The answer to such challenge resides in the construction of engineered anisotropic sensing structures. Herein, a hierarchically aligned carbon nanofiber (CNF)/polydimethylsiloxane nanocomposite strain sensor is developed by one-step 3D printing. The precisely controlled printing path and shear flow bring about highly aligned nanocomposite filaments at macroscale and orientated CNF network within each filament at microscale. The periodically orientated nanocomposite filaments along with the inner aligned CNF network successfully control the strain distribution and the appearance of microcracks, giving rise to anisotropic structural response to external deformations. The synergetic effect of the multiscale structural design leads to distinguishable gauge factors of 164 and 0.5 for applied loadings along and transverse to the alignment direction, leading to an exceptional selectivity of 3.77. The real-world applications of the hierarchically aligned sensors in multiaxial movement detector and posture-correction device are further demonstrated. The above findings propose new ideas for manufacturing nanocomposites with engineered anisotropic structure and properties, verifying promising applications in emerging wearable electronics and soft robotics.

摘要

能够检测多方向应变的高性能传感器对于理解柔性电子产品中涉及的复杂运动不可或缺。传统的各向同性应变传感器只能测量单轴变形或单一刺激,这限制了它们的实际应用领域。应对这一挑战的答案在于构建工程化的各向异性传感结构。在此,通过一步3D打印开发了一种分层排列的碳纳米纤维(CNF)/聚二甲基硅氧烷纳米复合应变传感器。精确控制的打印路径和剪切流在宏观尺度上产生高度排列的纳米复合长丝,并在微观尺度上使每根长丝内的CNF网络取向。周期性取向的纳米复合长丝与内部排列的CNF网络一起成功控制了应变分布和微裂纹的出现,从而产生对外部变形的各向异性结构响应。多尺度结构设计的协同效应导致沿排列方向和垂直于排列方向施加负载时的可区分应变片系数分别为164和0.5,产生了3.77的优异选择性。进一步展示了分层排列传感器在多轴运动探测器和姿势校正装置中的实际应用。上述发现为制造具有工程化各向异性结构和性能的纳米复合材料提出了新思路,验证了其在新兴可穿戴电子产品和软机器人中的应用前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验