利用梯度刚度滑动策略实现超灵敏、高线性和无滞后应变传感器

IF 12.3 1区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Fuhua Xue, Qingyu Peng, Renjie Ding, Pengyang Li, Xu Zhao, Haowen Zheng, Liangliang Xu, Zhigong Tang, Xinxing Zhang, Xiaodong He
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引用次数: 0

摘要

开发兼具高灵敏度和高线性度的应变传感器一直是研究人员的目标。与电阻式应变传感器相比,电容式应变传感器具有无可比拟的线性优势,但一直受限于低灵敏度。在此,我们报告了一种梯度刚度滑动设计策略,它能解决这一问题,在保持高线性度的同时显著提高灵敏度。通过控制局部增强电场的分布和基底的异质变形,我们成功制备出了一种性能卓越的应变传感器,在整个传感范围内表现出巨大的量规因子(9.1 × 106)和线性度(R2 = 0.9997),同时几乎没有滞后,响应时间快(17 毫秒)。梯度刚度滑动设计是一种通用策略,有望应用于其他类型的传感器,以同时实现超高灵敏度和超高线性度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultra-sensitive, highly linear, and hysteresis-free strain sensors enabled by gradient stiffness sliding strategy

Ultra-sensitive, highly linear, and hysteresis-free strain sensors enabled by gradient stiffness sliding strategy
Developing strain sensors with both high sensitivity and high linearity has always been the goal of researchers. Compared to resistive strain sensors, capacitive strain sensors have incomparable linearity advantages, but have always been limited by low sensitivity. Here, we report a gradient stiffness sliding design strategy that addresses this problem, significantly improving sensitivity while maintaining high linearity. By controlling the distribution of the locally enhanced electric field and the heterogeneous deformation of the substrate, a strain sensor with excellent performance is successfully prepared, exhibiting a giant gauge factor (9.1 × 106) and linearity (R2 = 0.9997) over the entire sensing range, together with almost no hysteresis and fast response time (17 ms). The gradient stiffness sliding design is a general strategy expected to be applied to other types of sensors to achieve ultra-high sensitivity and ultra-high linearity at the same time.
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来源期刊
CiteScore
17.10
自引率
4.80%
发文量
91
审稿时长
6 weeks
期刊介绍: npj Flexible Electronics is an online-only and open access journal, which publishes high-quality papers related to flexible electronic systems, including plastic electronics and emerging materials, new device design and fabrication technologies, and applications.
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