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Tough and Robust Mechanically Interlocked Gel-Elastomer Hybrid Electrode for Soft Strain Gauge. | LitMetric

Tough and Robust Mechanically Interlocked Gel-Elastomer Hybrid Electrode for Soft Strain Gauge.

Adv Sci (Weinh)

CAS Key Laboratory of Design and Assembly of Functional Nanostructures, Fujian Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, 350108, China.

Published: July 2023

AI Article Synopsis

  • Soft strain gauges, made from flexible materials, solve problems related to traditional rigid gauges, like poor sensing range and fracture issues.
  • A new hybrid material made from gel and elastomer shows impressive durability and sensitivity, capable of detecting tiny strains and human motion accurately.
  • By using advanced patterning techniques and machine learning, this technology can create intelligent systems to monitor human movements, paving the way for improved wearable devices.

Article Abstract

Soft strain gauges provide a flexible and versatile alternative to traditional rigid and inextensible gauges, overcoming issues such as impedance mismatch, the limited sensing range, and fatigue/fracture. Although several materials and structural designs are used to fabricate soft strain gauges, achieving multi-functionality for applications remains a significant challenge. Herein, a mechanically interlocked gel-elastomer hybrid material is exploited for soft strain gauge. Such a material design provides exceptional fracture energy of 59.6 kJ m and a fatigue threshold of 3300 J m , along with impressive strength and stretchability. The hybrid material electrode possesses excellent sensing performances under both static and dynamic loading conditions. It boasts a tiny detection limit of 0.05% strain, ultrafast time resolution of 0.495 ms, and high linearity. This hybrid material electrode can accurately detect full-range human-related frequency vibrations ranging from 0.5 to 1000 Hz, enabling the measurement of physiological parameters. Additionally, the patterned soft strain gauge, created through lithography, demonstrates superior signal-noise rate and electromechanical robustness against deformation. By integrating a multiple-channel device, an intelligent motion detection system is developed, which can classify six typical human body movements with the assistance of machine learning. This innovation is expected to drive advancements in wearable device technology.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375198PMC
http://dx.doi.org/10.1002/advs.202301116DOI Listing

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