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 molding. 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.

在这项工作中，使用包含碳纳米管（CNT）和合成的银纳米颗粒（AgNP）的热塑性聚氨酯基导电聚合物复合材料通过熔融沉积成型来制造高弹性应变传感器。纳米填料的引入提高了材料的可印刷性，并且AgNP的大小和含量显着影响了3D打印传感器的传感性能。当CNTs：AgNPs的重量比为5：1时，传感器表现出出色的性能，具有高灵敏度（在250％应变下GF = 43260），高线性（R ²在50％应变下= 0.97），快速响应（〜57 ms），以及由于协同效应而具有出色的可重复性（1000个循环）。还基于Simmons隧道理论进行了建模研究，以分析传感机制。该传感器用于监视各种关节运动和面部运动，显示出其在通常需要自定义的智能机器人，假肢和可穿戴设备中的应用潜力。