Fabrication and Characterization of Electrically Conductive 3D Printable TPU/MWCNT Filaments for Strain Sensing in Large Deformation Conditions

Behrad Koohbor, Wei Xue, Kazi Z. Uddin, George Youssef, Daniel Nerbetski, Bradley Steiger, Joseph Kenney, Dana Yarem
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Abstract

This study investigates the development of thermoplastic polyurethane (TPU) filaments incorporating multi-walled carbon nanotubes (MWCNT) to enhance strain-sensing capabilities. Various MWCNT reinforcement ratios are used to produce customized feedstock for fused filament fabrication (FFF) 3D printing. Mechanical properties and the piezoresistive response of samples printed with these multifunctional filaments are concurrently evaluated. Surface morphology and microstructural observations reveal that higher MWCNT weight percentages increase filament surface roughness and rigidity. The microstructural modifications directly influence the tensile strength and strain energy of the printed samples. The study identifies an apparent percolation threshold within the 10–12 wt.% MWCNT range, indicating the formation of a conductive network. At this threshold, higher gauge factors are achieved at lower strains. A newly introduced Electro-Mechanical Sensitivity Ratio (ESR) parameter enables the classification of composite behaviors into two distinct zones, offering the ability to tailor self-sensing structures with on-demand properties. Finally, flexible structures with proven application in soft robotics and shape morphing are fabricated and tested at different loading conditions to demonstrate the potential applicability of the custom filaments produced. The results highlight a pronounced piezoresistive response and superior load-bearing performance in the examined structures.

Abstract Image

用于大变形条件下应变传感的导电三维打印热塑性聚氨酯/MWCNT 纤维的制作与表征
本研究调查了含有多壁碳纳米管 (MWCNT) 的热塑性聚氨酯 (TPU) 长丝的开发情况,以增强应变传感能力。采用不同的 MWCNT 增强比例生产定制原料,用于熔融长丝制造(FFF)3D 打印。同时还对使用这些多功能丝打印的样品的机械性能和压阻响应进行了评估。表面形态和微结构观察结果表明,较高的 MWCNT 重量百分比会增加长丝的表面粗糙度和刚性。微结构的改变直接影响了打印样品的拉伸强度和应变能。研究发现,在 10-12 重量百分比的 MWCNT 范围内存在明显的渗流阈值,表明导电网络已经形成。在此阈值下,较低的应变即可实现较高的测量系数。新引入的机电灵敏度比 (ESR) 参数可将复合材料的行为划分为两个不同的区域,从而能够定制具有按需特性的自感应结构。最后,在不同的加载条件下,制作并测试了在软机器人和形状变形中应用成熟的柔性结构,以证明所生产的定制长丝的潜在适用性。结果表明,受测结构具有明显的压阻响应和卓越的承重性能。
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