Zhao Liang, Qiao Jingyu, Li Fangmei, Yuan Dandan, Huang Jiaxu, Wang Min, Xu Shaolin
Department of Mechanical and Energy Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen518055, China.
School of Microelectronics, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen518055, China.
ACS Appl Mater Interfaces. 2022 Oct 26;14(42):48276-48284. doi: 10.1021/acsami.2c14642. Epub 2022 Oct 13.
Flexible multidirectional strain sensors capable of simultaneously detecting strain amplitudes and directions have attracted tremendous interest. Herein, we propose a flexible multidirectional strain sensor based on a newly designed single-layer hierarchical aligned micro-/nanowire (HAMN) network. The HAMN network is efficiently fabricated using a one-step femtosecond laser patterning technology based on a modulated line-shaped beam. The anisotropic performance is attributed to the significantly different morphological changes caused by an inhomogeneous strain redistribution among the HAMN network. The fabricated strain sensor exhibits high sensitivity (gauge factor of 65 under 2.5% strain and 462 under larger strains), low response/recovery time (140 and 322 ms), and good stability (over 1000 cycles). Moreover, this single-layer strain sensor with high selectivity (gauge factor differences of ∼73 between orthogonal strains) is capable of distinguishing multidimensional strains and exhibits decoupled responses under low strains (<1%). Therefore, the strain sensors enable the precise monitoring of subtle movements, including radial pulses and wrist bending, and the rectification of pen-holding posture. Benefitting from these remarkable performances, the HAMN-based strain sensors show potential applications, including healthcare and complex human motion monitoring.
能够同时检测应变幅度和方向的柔性多向应变传感器引起了极大的关注。在此,我们提出了一种基于新设计的单层分级排列微/纳米线(HAMN)网络的柔性多向应变传感器。HAMN网络是利用基于调制线形光束的一步飞秒激光图案化技术高效制备的。各向异性性能归因于HAMN网络中不均匀应变再分布引起的显著不同的形态变化。所制备的应变传感器具有高灵敏度(在2.5%应变下应变片系数为65,在较大应变下为462)、低响应/恢复时间(140和322毫秒)和良好的稳定性(超过1000次循环)。此外,这种具有高选择性的单层应变传感器(正交应变之间的应变片系数差异约为73)能够区分多维应变,并在低应变(<1%)下表现出解耦响应。因此,应变传感器能够精确监测细微运动,包括径向脉搏和手腕弯曲,以及纠正握笔姿势。受益于这些卓越性能,基于HAMN的应变传感器显示出潜在的应用,包括医疗保健和复杂人体运动监测。