journal article·2020-05

Simultaneously Achieving Ultrahigh Sensitivity and Wide Detection Range for Stretchable Strain Sensors with an Interface‐Locking Strategy

Waner Lin, Chubin He, Huayi Huang, Wenyu Zhao, Yanbing Qiu, Xiao Guan, Qi Zhang, Ziya Wang, Zhengchun Peng

Advanced Materials Technologies· Volume 5· Issue 5
Publisher page

Abstract

Abstract The development of stretchable strain sensors is crucial for the implementation of electronic skins and wearable electronics. Resistive‐type strain sensors are typically composed of an electrically conductive sensing layer coupled to a stretchable substrate. When a sensor is stretched, microstructural changes in the sensing layer lead to a strain‐dependent change in resistance. However, strain sensors with high sensitivity and specificity often suffer from a limited detection range along with reliability issues. Here, a novel strain sensor composed of Ag particles and long‐range entangled carbon nanotubes (CNTs) with a special composite design is proposed, in which a strain‐induced self‐locking effect is introduced at the interface between the CNT film and a percolating network consisting of Ag particle filler. As a result, the sensors achieve significantly enhanced performance such as large stretchability (≥120%), high gauge factor (3990.8), fast response time (<33 ms), and high mechanical durability. A range of wearable applications including radial artery, facial expression, and joint motion monitoring are demonstrated, which range from minute deformation to excessive stretching of the sensor.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Tactile and Sensory Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Stretchable Electronics and Nano Sensors Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education College of Optoelectronic Engineering Shenzhen University Shenzhen 518060 P. R. China

Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen 518129 P. R. China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Guangdong Province · Department of Education of Guangdong Province

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