4.7 Article

Piezocapacitive Flexible E-Skin Pressure Sensors Having Magnetically Grown Microstructures

期刊

ADVANCED MATERIALS TECHNOLOGIES
卷 5, 期 2, 页码 -

出版社

WILEY
DOI: 10.1002/admt.201900934

关键词

electromechanical properties; electronic skins; flexible pressure sensor; magnetically self-assembled microstructures; piezocapacitive sensors

资金

  1. China International Cooperation Project [2016YFE0126700]
  2. National Natural Foundation of China [51971233, 51931011, 61774161, 61704177, 51525103]
  3. CAS President's International Fellowship Initiative (PIFI) [2019PE0019]
  4. Public Welfare Technical Applied Research Project of Zhejiang Province [2017C31100, LGG19F010006]
  5. Ningbo Scientific and Technological Innovation 2025 Major Project [2018B10057, 2019B10127]
  6. Ningbo Science and Technology Innovation Team [2015B11001]
  7. CAS-TWAS

向作者/读者索取更多资源

Flexible pressure sensors are highly desirable in artificial intelligence, health monitoring, and soft robotics. Microstructuring of dielectrics is the common strategy employed to improve the performance of capacitive type pressure sensors. Herein, a novel, low-cost, large-area compatible, and mold-free technique is reported in which magnetically grown microneedles are self-assembled from a film of curable magnetorheological fluid (CMRF) under the influence of a vertical curing magnetic field (B-curing). After optimizing the microneedles' fabrication parameters, i.e., magnetic particles' (MPs') concentration and B-curing intensity, piezocapacitive sensors capable of wide range pressure sensing (0-145 kPa) with ultrafast response time (50 ms), high cyclic stability (>9000 cycles), as well as very low detection limit (1.9 Pa) are obtained. Sensor properties are found dependent on microneedles' fabrication parameters that are controllable, produce variable-sized microneedles, and allow to govern sensing properties according to desired applications. Finally, the sensor is employed in holding a bottle with different weights, human breath, and motion monitoring, which demonstrate its great potential for the applications of human-machine interaction, human health monitoring, and intelligent soft robotics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据