Synergistic effects of hybrid conductive nanofillers on the performance of 3D printed highly elastic strain sensors

By Dong Xiang, Xuezhong Zhang, E. Harkin-jones, Wanqiu Zhu, Zuoxin Zhou, Yucai Shen, Yuntao Li, Chunxia Zhao, Ping Wang. 2020

141 citations recorded by the source corpus.

Abstract In this work, thermoplastic polyurethane based conductive polymer composites containing carbon nanotubes (CNTs) and synthesized silver nanoparticles (AgNPs) were used to fabricate highly elastic strain sensors via fused deposition modeling. The printability of the materials was improved with the introduction of the nanofillers, and the size and content of the AgNPs significantly influenced the sensing performance of the 3D printed sensors. When the CNTs:AgNPs weight ratio was 5:1, the sensors exhibited outstanding performance with high sensitivity (GF = 43260 at 250% strain), high linearity (R2 = 0.97 within 50% strain), fast response (~57 ms), and excellent repeatability (1000 cycles) due to synergistic effects. A modeling study based on the Simmons' tunneling theory was also undertaken to analyze the sensing mechanism. The sensor was applied to monitor diverse joint movements and facial motion, showing its potential for application in intelligent robots, prosthetics, and wearable devices where customizability are usually demanded.

Subfields: Automotive Engineering, Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a5157d2f51a8eb7718ea9e2e3dc4a3a506fb4cf8