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Ultralightweight and 3D Squeezable Graphene-Polydimethylsiloxane Composite Foams as Piezoresistive Sensors

Authors :
Yutao Pei
Debarun Sengupta
Ajay Giri Prakash Kottapalli
Advanced Production Engineering
Source :
ACS Applied Materials & Interfaces, ACS Applied Materials & Interfaces, 11(38):9b11776, 35201-35211. AMER CHEMICAL SOC
Publication Year :
2019
Publisher :
AMER CHEMICAL SOC, 2019.

Abstract

The growing demand for flexible, ultrasensitive, squeezable, skin-mountable and wearable sensors tailored to the requirements of personalized health care monitoring has fueled the necessity to explore novel nanomaterial-polymer composite-based sensors. Herein, we report a sensitive, 3D squeezable graphene-polydimethylsiloxane (PDMS) foam-based piezoresistive sensor realized by infusing multi-layered graphene nanoparticles into a sugar scaffolded porous PDMS foam structure. Static and dynamic compressive strain testing of the resulting piezoresistive foams sensors revealed two linear response regions with an average gauge factor of 2.87 ~ 8.77 over a strain range of 0-50 %. Furthermore, the dynamic stimulus-response revealed the ability of the sensors to effectively track dynamic pressure up to a frequency of 70 Hz. In addition, the sensors displayed a high stability over 36000 cycles of cyclic compressive loading and 100 cycles of complete human gait motion. The 3D sensing foams were applied to experimentally demonstrate accurate human gait monitoring through both simulated gait models and real-time gait characterization experiments. The real-time gait experiments conducted demonstrate that the information of the pressure profile obtained at three locations in the shoe sole could not only differentiate between different kinds of human gait including walking and running, but also identify possible fall conditions. This work also demonstrates the capability of the sensors to differentiate between foot anatomies, such as a flat foot (low central arch) and a medium arch foot which is biomechanically more efficient. Furthermore, the sensors were able to sense various basic joint movement responses demonstrating their suitability for personalized healthcare applications.

Details

Language :
English
ISSN :
19448252 and 19448244
Volume :
11
Issue :
38
Database :
OpenAIRE
Journal :
ACS Applied Materials & Interfaces
Accession number :
edsair.doi.dedup.....4d4e29e2e4409bc9e55380782c455c08