4.6 Article

Flexible and high-performance piezoresistive strain sensors based on multi-walled carbon nanotubes@polyurethane foam

Journal

RSC ADVANCES
Volume 12, Issue 22, Pages 14190-14196

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2ra01291j

Keywords

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Funding

  1. National Key Research and Development Program of China [2019YFF0302100]
  2. Natural Science Foundation of Tianjin [18JCYBJC18500]

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Flexible wearable pressure sensors have significant potential in various applications, but developing sensors with high sensitivity, fast response, and reliable stability through a simple fabrication process remains a challenge. In this study, a simple and efficient method was developed to fabricate lightweight three-dimensional piezoresistive sensing materials, and the assembled pressure sensor demonstrated high sensitivity, wide working range, fast response time, and reliable repeatability.
Flexible wearable pressure sensors have attracted special attention in the last 10 years due to their great potential in health monitoring, activity detection and as electronic skin. However, it is still a great challenge to develop high sensitivity, fast response, and good reliable stability through a simple and reproducible large-scale fabrication process. Here, we develop a simple and efficient method to fabricate three-dimensional (3D) light-weight piezoresistive sensing materials by coating multi-walled carbon nanotubes (MWCNTs) on the surface of polyurethane (PU) foam using a dip-spin coating process. The PU foam prepared with SEBS-g-MAH and polyether polyols has high elasticity and good stability in MWCNTs/DMF solution. Subsequently, a piezoresistive sensor was assembled with the prepared MWCNTs/PU composite foam and copper foil electrodes. The assembled pressure sensor has high sensitivity (62.37 kPa(-1)), a wide working range (0-172.6 kPa, 80% strain), a fast response time (less than 0.6 s), and reliable repeatability (>= 2000 cycles). It has shown potential application in real-time human motion detection (e.g., arm bending, knee bending), and monitoring the brightness of LED lights.

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