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Light-weight strain sensor based on carbon nanotube/epoxy composite yarn
- Source :
- Journal of Materials Science. 56:13156-13164
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Flexible strain sensors with high sensitivity are indeed critical for smart wearable devices, they are used for detecting the tiny deformation of human skin induced by pulse, heartbeat or throat vibration. Herein, to design a highly sensitive strain yarn sensor, we produced a carbon nanotube (CNT) composite yarn by partially composing CNT yarn with epoxy (EP)/acetone polymer solution through a quick coating process. By this process, core/sheath structured CNT composite yarn (C/S-CY) with a thin sheath layer of less than 2.50 μm was obtained. The composite yarn exhibited 145.9% improved tensile strength (308.7 MPa) compared with pristine CNT yarn. In addition, the C/S-CY showed high strain sensitivity (Gauge factor ~ 8.65) with a linear piezoresistive (~ 98% linearity) response during the tensile strain of 2%. The core/sheath structured CNT composite yarn maintained proper sensing and tensile performance after multiple stretching cycles (2% strain). The as produced C/S-CY could find its potential applications in detecting movement of the finger, elbow joint and facial micro-expression, which indicated the potential applications of this sensor yarn in wearable electronics, flexible smart devices, or soft multifunctional systems.
- Subjects :
- Materials science
020502 materials
Mechanical Engineering
Composite number
02 engineering and technology
Epoxy
Carbon nanotube
Yarn
engineering.material
Piezoresistive effect
law.invention
0205 materials engineering
Coating
Mechanics of Materials
law
visual_art
Ultimate tensile strength
engineering
visual_art.visual_art_medium
General Materials Science
Composite material
Deformation (engineering)
Subjects
Details
- ISSN :
- 15734803 and 00222461
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Journal of Materials Science
- Accession number :
- edsair.doi...........b59e23511794e5c9cd23f2a4032f4980
- Full Text :
- https://doi.org/10.1007/s10853-021-06146-z