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Flexible Broad‐Range Pressure Sensors Enabled by Deformation‐Induced Conductive Channels in 3D Graphene Foam@Polydimethylsiloxane Composite for Precise Vibrational Signal Detection
Author(s) -
Miao Jiankun,
Shi Yayuan,
Zhu Hongfei,
Gao Mingyi
Publication year - 2020
Publication title -
chinese journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 41
eISSN - 1614-7065
pISSN - 1001-604X
DOI - 10.1002/cjoc.201900538
Subject(s) - polydimethylsiloxane , graphene , electrical conductor , pressure sensor , composite number , signal (programming language) , fabrication , chemistry , optoelectronics , nanotechnology , composite material , materials science , mechanical engineering , computer science , pathology , medicine , alternative medicine , engineering , programming language
Summary of main observation and conclusion Here we report the design and fabrication of high‐performance pressure sensors based on three‐ dimensional (3D) graphene foam filled polydimethylsiloxane (GF@PDMS) composite with a broad sensing range spaning from 0.05 kPa to 130 kPa. The interpretation of device functioning mechanism can be classified into low and high pressure sensing regions. In the low pressure region (<15 kPa), the pressure loading leads to the temporal connection of micro‐cracks in GF scaffold and forming conductive channels. In the high pressure region (15 kPa to 130 kPa), the pressure induced deformation of GF results in the better connections among micro‐cracks and the shortening of conductive pathway to further decrease the electrical resistance. The GF@PDMS sensors exhibited accuracy, sensibility and reproducibility to detect pressure signals with remarkable stability for over 16000 loading‐unloading cycles, indicating its great potential for practical applications. Moreover, the GF@PDMS sensors also showed high performances in the detection of dynamic pressures, such as subtle mechanical vibration signals, as well as physiology vibrational signals generated by human throats. We expect this technology could be integrated into different sensing systems for the applications in wearable smart electronics and human‐machine communications.