CHARACTERIZATION OF THE 3D-PRINTED CARBON NANOTUBE/POLYURETHANE COMPOSITE WITH STRUCTURAL HEALTH MONITORING CAPABILITIES

Abstract

Structural health monitoring (SHM) is increasingly crucial for early damage detection and timely alerts to users. Research on SHM techniques utilizing the self-sensing capabilities of carbon nanotube (CNT) based composites has gained significant attention. Currently, investigations into 3D printing techniques for automating the fabrication of CNT based composites are on the rise. This paper investigates the consequential effects of the SHM properties of CNT/polyurethane (PU) composites 3D printed in a DIW format. The CNT/PU composite ink was synthesized by incorporating CNTs into PU, which significantly enhances both electrical and mechanical properties. Electrical conductivity measurements of the CNT/PU ink were conducted, showing a sharp increase in electrical conductivity at the percolation threshold of 1 wt% CNT concentration. Printing characteristics of the CNT/PU ink were evaluated, with viscosity and printing parameters affecting ink flow and trace width identified an optimal CNT concentration for 3D printing. Customization of 3D printing patterns through control of printing parameters is noted for smooth printing. The self-sensing evaluation of the 3D-printed CNT/PU composites was conducted through a comparative analysis of bending, compression, temperature change conditions. The research results demonstrate the potential for various applications, such as structural condition monitoring, through the utilization of the CNT/PU composite materials and printing methods. Copyright 2024. Used by CAMX – The Composites and Advanced Materials Expo.