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Updated: Jan 25, 2026

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A Fabrication Method for Highly Stretchable Conductors with Silver Nanowires
Published on: January 21, 2016
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Ecoflex-Passivated Graphene-Yarn Composite for a Highly Conductive and Stretchable Strain Sensor
Wonkyeong Son1, Kyu-Beom Kim1, Sangmin Lee1
1Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea.
Journal of Nanoscience and Nanotechnology
|April 28, 2019
Summary
This study introduces a highly stretchable graphene-yarn strain sensor made using spray coating. This advanced method significantly enhances conductivity and stretchability for wearable electronics.
Area of Science:
- Materials Science
- Nanotechnology
- Wearable Technology
Background:
- Flexible strain sensors are crucial for wearable electronics.
- Improving conductivity and stretchability in composite materials remains a challenge.
Purpose of the Study:
- To develop a highly stretchable and conductive strain sensor using a graphene-yarn composite.
- To compare spray coating with dip coating for fabricating graphene-based sensors.
- To evaluate the sensor's performance and suitability for wearable applications.
Main Methods:
- Fabrication of a graphene-yarn composite via spray coating of graphene nanoplates onto pre-stretched yarn.
- Comparative analysis of spray-coated versus dip-coated sensors.
- Characterization of sensor conductivity, stretchability, and response to strain.
- Passivation of the sensor with an Ecoflex protective layer.
Main Results:
- Spray coating resulted in 3.68 times higher conductivity and 2.1 times higher stretchability than dip coating.
- The spray-coated sensor achieved 310% stretchability with a relative resistance change of 2.27 at 50% strain.
- Passivation with Ecoflex did not degrade sensor performance up to 200% strain.
- The sensor successfully monitored finger movements and wrist pulse.
Conclusions:
- Spray-coated graphene-yarn composites offer superior performance for flexible strain sensors.
- The developed sensor is robust, stretchable, and suitable for real-time wearable monitoring.
- This technology has potential applications in health monitoring and human-machine interfaces.
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