期刊
POLYMERS
卷 15, 期 7, 页码 -出版社
MDPI
DOI: 10.3390/polym15071618
关键词
highly stretchable; wearable electronics; SEBS; CB composite strand; novel preparation technique; piezoresistive sensor; respiration activity; strain posture detection
A wearable and stretchable strain sensor with a gauge factor above 23 was fabricated using a simple and effective technique. The sensor was made from a conductive nanocomposite prepared from SEBS and CB, and showed good flexibility and conductivity. The sensor demonstrated a large piezoresistive effect that was linearly dependent on the applied strain.
A wearable and stretchable strain sensor with a gauge factor above 23 was prepared using a simple and effective technique. Conducting nanocomposite strands were prepared from styrene-b-(ethylene-co-butylene)-b-styrene triblock copolymer (SEBS) and carbon black (CB) through a solvent-processing method that uses a syringe pump. This novel nanocomposite preparation technique is a straightforward and cost-effective process and is reported in the literature for the first time. The work included two stages: the flexible nanocomposite preparation stage and the piezoresistive sensor stage. Depending on its molecular structure, the thermoelastic polymer SEBS is highly resilient to stress and strain. The main aim of this work is to fabricate a highly flexible and piezoresistive nanocomposite fibre/strand. Among the prepared composites, a composite corresponding to a composition just above the percolation threshold was selected to prepare the strain sensor, which exhibited good flexibility and conductivity and a large piezoresistive effect that was linearly dependent on the applied strain. The prepared nanocomposite sensor was stitched onto a sports T-shirt. Commercially available knee and elbow sleeves were also purchased, and the nanocomposite SEBS/CB strands were sewn separately on the two sleeves. The results showed a high sensitivity of the sensing element in the case of breathing activity (normal breathing, a 35% change, and deep breathing at 135%, respectively). In the case of knee and elbow movements, simultaneous measurements were performed and found that the sensor was able to detect movement cycles during walking.
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