The Effect of Filler Dimensionality and Content on Resistive Viscoelasticity of Conductive Polymer Composites for Soft Strain Sensors

Soft strain sensors based on conductive polymer composites (CPCs) provide a simple and feasible detection tool in wearable electronics, soft machines, electronic skin, etc. However, the CPCs-based exhibit resistive viscoelasticity (or time-dependent properties) that hinder intuitive reflection of accurate calibration process. In this paper, CPCs with different carbon nanotubes (CNTs) black (CB) contents were prepared, electro-mechanical experiments conducted to study effect filler dimensionality content CPCs, aimed at guiding fabrication low viscoelasticity. Furthermore, mechanical compared origin CPCs. We found that, vicinity their percolation threshold, high despite sensitivity. addition, secondary peaks for CB/SR composite negligible when CB concentration was low. Generally, one-dimensional CNT-filled zero-dimensional CB-filled show higher sensitivity, lower hysteresis, resistance relaxation ratio, better cyclic performance, so they are more suitable sensor usage. By comparing it is indicated nanoparticles (NPs) approaches thresholds, mainly derived from change network, while NPs higher, primarily due unrecoverable deformations inside material.