Abstract
Stretchable strain sensors have been rapidly developing in recent years. Fabricating strain sensors with both large workable strain range and high sensitivity via a low-cost and straightforward process is still challenging. Here, this work created a multi-walled carbon nanotubes (MWCNTs) / broadleaf wood fiber (BWF) film, the highly micro-porous network of which allows a slow infiltration of liquid silicone in a vacuum environment to form an elastic composite, serving as a stretchable strain sensor. The sensor showed an ultra-wide strain of up to 440% and high sensitivity of GF (gage factor) of 3.3 at 0∼200% strain and of 7.8 at 200∼440% strain. In addition, the sensor is able to endure 5500 cyclic loading/unload at 100% strain with no damage in its mechanical structure and small variation in electrical resistance. To demonstrate its practicality, the sensor was incorporated into a soft pneumatic griper and utilized as a bending sensor to detect the griper deformation. The system demonstrated a high accuracy of 99.33% in the classification of lab beakers using a data-driven framework built with a trained Support Vector Machine (SVM) algorithm.
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