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Graphene/Glycerin Solution-Based Multifunctional Stretchable Strain Sensor with Ultra-High Stretchability, Stability, and Sensitivity.
Qi, Zhenkun; Bian, Hailiang; Yang, Yi; Nie, Nantian; Wang, Fuliang.
Afiliação
  • Qi Z; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China. qizhenkun@csu.edu.cn.
  • Bian H; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China. csucmeebhl@csu.edu.cn.
  • Yang Y; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China. youngwhyi_csu@163.com.
  • Nie N; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China. nienantian@csu.edu.cn.
  • Wang F; School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China. wangfuliang@csu.edu.cn.
Nanomaterials (Basel) ; 9(4)2019 Apr 16.
Article em En | MEDLINE | ID: mdl-31014031
ABSTRACT
Highly stretchable, flexible, and sensitive strain sensors have promising applications in motion detection-especially multifunctional strain sensors that can detect stretching, bending, compression and twisting. Herein, this study presents a graphene and glycerol solution-based multifunctional sensor with ultra-high stretchability and sensitivity. Owing to the self-lubrication and fluidity of the graphene-glycerol solution, the strain sensors display super stretchability up to 1000%, a maximum gauge factor up to 45.13, and excellent durability for over 10,000 cycles. In addition, the sensor can also rapidly respond to small strains (1%, 5%, 10%) and different stretching rates (12.5%/s, 25%/s, 50%/s, and 100%/s). More impressively, the sensors can measure up to 50 kPa pressure and 180° twisting without any damage. Furthermore, the strain sensors demonstrate their applicability in scenarios involving motion detection, such as that for finger bending, wrist rotating, touching, and drinking water.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article