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A Sprayed Graphene Pattern-Based Flexible Strain Sensor with High Sensitivity and Fast Response.

Wei Xu1,2, Tingting Yang3,4, Feng Qin5,6

  • 1Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, China. xuwei@mtrc.ac.cn.

Sensors (Basel, Switzerland)
|March 6, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a simple manufacturing method for flexible graphene strain sensors. The developed sensors offer high sensitivity, fast response, and stability, overcoming limitations of previous methods.

Keywords:
curved substratefast responseflexible strain sensorgraphenehigh sensitivity

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Sensor Technology

Background:

  • Flexible strain sensors are crucial for various applications but face challenges in manufacturing cost, complexity, and performance trade-offs.
  • Existing research often optimizes single sensor parameters, neglecting a holistic approach to performance enhancement.

Purpose of the Study:

  • To develop a simple, cost-effective manufacturing method for flexible graphene-based strain sensors.
  • To achieve high sensitivity and fast response times in these sensors.
  • To demonstrate compatibility with complex curved surfaces.

Main Methods:

  • Oxygen plasma treatment of substrates to enhance graphene-substrate interfacial interaction.
  • Spray coating of graphene solution using a soft PET mask for pattern definition.
  • Fabrication of the sensitive layer for the flexible strain sensor.

Main Results:

  • Achieved high sensitivity with a gauge factor of approximately 100 at 1% strain.
  • Demonstrated a fast response time ranging from 400–700 μs.
  • Exhibited good stability over 1000 cycles with low overshoot (<5%).

Conclusions:

  • The proposed simple manufacturing method yields high-performance flexible graphene strain sensors.
  • The process is compatible with complex curved substrates, expanding potential applications.
  • This approach addresses limitations of previous methods, paving the way for broader sensor utilization.