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An ultrahighly sensitive and repeatable flexible pressure sensor based on PVDF/PU/MWCNT hierarchical framework-structured aerogels for monitoring human activities

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Abstract

Flexible piezoresistive sensors with high sensitivity and repeatability are highly desirable for monitoring human activity and human–machine interactions. However, it is still a great challenge to fabricate high-performance sensors due to the limits of multifunctional sensing platforms. In this work, hierarchical framework-structured PVDF/PU/MWCNT (PPM) aerogels fabricated by a facile thermo-assembly method were suggested as sensitive sensing platform to detect pressure and strain. The pressure-sensing platform based on optimized PPM aerogels exhibited high sensitivity of 62.4 kPa−1 and fast response of 35 ms, which enabled the detection of minute static pressure of 3 Pa. The sensing platform was also able to detect wide-range compression from 0.5% to 90% and dynamic piezoresistive response behaviour from 1 Hz to 3 kHz, showing excellent repeatability over 50 000 compression cycles and ultrahigh strain sensitivity of 156.4, which was the highest reported gauge factor. Moreover, the sensing platform with ultrahigh sensitivity and excellent repeatability enabled the monitoring of human activities, human health, human–machine interactions and non-contact actions such as music intensity. The facile fabrication and versatile capabilities of the sensing platform make it a promising candidate for wearable sensors.

Graphical abstract: An ultrahighly sensitive and repeatable flexible pressure sensor based on PVDF/PU/MWCNT hierarchical framework-structured aerogels for monitoring human activities

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Publication details

The article was received on 14 Sep 2018, accepted on 17 Oct 2018 and first published on 18 Oct 2018


Article type: Paper
DOI: 10.1039/C8TC04652B
Citation: J. Mater. Chem. C, 2018, Advance Article
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    An ultrahighly sensitive and repeatable flexible pressure sensor based on PVDF/PU/MWCNT hierarchical framework-structured aerogels for monitoring human activities

    F. Wang, S. Zhang, L. Wang, Y. Zhang, J. Lin, X. Zhang, T. Chen, Y. Lai, G. Pan and L. Sun, J. Mater. Chem. C, 2018, Advance Article , DOI: 10.1039/C8TC04652B

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