Elastomer Composites with a Tailored Interface Network
toward Tunable Piezoresistivity: Effect of Elastomer Particle Size
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Posted on 2019-03-13 - 13:05
Wearable
strain sensors have significant potential applications
for the development of the Internet of Things. As such, sensors based
on conductive elastomer composites (CECs) for various sensing applications
require different piezoresistive properties, i.e., strain sensitivity
and sensing ranges. Herein, we report a facile strategy to fabricate
thermoplastic polyurethane (TPU)/carbon nanostructure (CNS) composites
designed for different applications based on different conductive
interface network morphologies via forming the filler network at segregated
TPU particles with various sizes. This strategy renders the composites
tunable electrical conductivity (4 orders of magnitude change at low
filler content) and mechanical and piezoresistive properties upon
changing the TPU particle size. The larger the TPU particle size,
the denser and stronger the conductive network, leading to higher
electrical conductivity, better mechanical reinforcement, and more
stable piezoresistive behavior. By contrast, using a smaller TPU particle
size gives rise to relatively lower conductivity but higher elongation
at break and much higher strain sensitivity. Composites with 0.7 wt
% CNS using TPU particle sizes up to 212 μm have a gauge factor
of 7668 at 300% tensile strain and elongation at break of 990%; whereas,
when using TPU particles with 1000–1400 μm, the gauge
factor is 175 for 300% tensile strain, and the elongation at break
is 780%. These CEC composites have potential applications for a variety
of flexible sensors.
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Sang, Zhen; Ke, Kai; Manas-Zloczower, Ica (2019). Elastomer Composites with a Tailored Interface Network
toward Tunable Piezoresistivity: Effect of Elastomer Particle Size. ACS Publications. Collection. https://doi.org/10.1021/acsapm.8b00241