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author:

Zhong, Faxin (Zhong, Faxin.) [1] | Chen, Shiqi (Chen, Shiqi.) [2] | Chen, Shuoyuan (Chen, Shuoyuan.) [3] | Zhang, Yue (Zhang, Yue.) [4] | Yin, Xiangyu (Yin, Xiangyu.) [5] | He, Bingwei (He, Bingwei.) [6]

Indexed by:

EI

Abstract:

Flexible strain sensors have made great progress and been applied tentatively in recent years. However, there are still many challenges and problems hindering their widespread application, including incompatible high sensitivity and wide detection range, poor durability, and time-consuming fabrication procedures. In this work, a dual-nozzle-assisted one-step strategy for the fabrication of integrated flexible strain sensors is proposed. During the fabrication, Ecoflex and its composite multi-walled carbon nanotube (MWCNT)/Ecoflex were extruded and thermally cured from the two nozzles, respectively. Taking advantage of the same base resin, the strain-sensitive and the insulating components in the fabricated flexible strain sensors are chemically bonded firmly and form an integrated device. The fabricated sensor exhibits good performance in terms of high gauge factor (GF = 165.3), good stability, low hysteresis, fast response time (60 ms), wide detection range (0%-300% strain), and ultralow detection limit (0.1% strain), showing promising applications in health monitoring and human-computer interaction. © 2001-2012 IEEE.

Keyword:

Capacitive sensors Fabrication Human computer interaction Multiwalled carbon nanotubes (MWCN) Nozzles Yarn

Community:

  • [ 1 ] [Zhong, Faxin]Fuzhou University, College of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 2 ] [Chen, Shiqi]Fuzhou University, College of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 3 ] [Chen, Shuoyuan]Fuzhou University, Maynooth International Engineering College, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Yue]Fuzhou University, College of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 5 ] [Zhang, Yue]Department of Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou; 350108, China
  • [ 6 ] [Yin, Xiangyu]Fuzhou University, College of Chemical Engineering, Fuzhou; 350108, China
  • [ 7 ] [He, Bingwei]Fuzhou University, College of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 8 ] [He, Bingwei]Department of Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou; 350108, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2023

Issue: 7

Volume: 23

Page: 6563-6570

4 . 3

JCR@2023

4 . 3 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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