Jung Imjoo, Shin Eun Joo, Lee Sunhee
Department of Fashion and Textiles, Dong-A University, Busan, 49315, Republic of Korea.
Department of Organic Materials and Polymer Engineering, Dong-A University, Busan, 49315, Republic of Korea.
Sci Rep. 2023 Oct 18;13(1):17728. doi: 10.1038/s41598-023-44951-5.
In this study, to develop soft pressure sensor applicable to wearable robots using stretchable polymers and conductive fillers, 3.25 wt% carbon nanotubes/thermoplastic polyurethane filament with shore 94 A were manufactured. Three infill densities (20%, 50%, and 80%) and patterns (zigzag (ZG), triangle (TR), honeycomb (HN)) were applied to print cubes via fused filament fabrication 3D printing. Most suitable infill conditions were confirmed based on the slicing images, morphologies, compressive properties, electrical properties, and electrical heating properties. For each infill pattern, ZG and TR divided the layers into lines and figures, and the layers were stacked by rotation. For HN, the same layers were stacked in a hexagonal pattern. Consequently, TR divided layer in various directions, showed the strongest compressive properties with toughness 1.99 J for of infill density 80%. Especially, the HN became tougher with increased infill density. Also, the HN laminated with the same layer showed excellent electrical properties, with results greater than 14.7 mA. The electrical heating properties confirmed that ZG and HN had the high layer density, which exhibited excellent heating characteristics. Therefore, it was confirmed that performance varies depending on the 3D printing direction, and it was confirmed that HN is suitable for manufacturing soft sensors.
在本研究中,为了开发适用于可穿戴机器人的软压力传感器,使用可拉伸聚合物和导电填料制造了邵氏硬度为94A的3.25 wt%碳纳米管/热塑性聚氨酯长丝。通过熔丝制造3D打印,应用三种填充密度(20%、50%和80%)和图案(之字形(ZG)、三角形(TR)、蜂窝状(HN))来打印立方体。基于切片图像、形态、压缩性能、电学性能和电加热性能确定了最合适的填充条件。对于每种填充图案,ZG和TR将层划分为线条和图形,并且通过旋转堆叠这些层。对于HN,相同的层以六边形图案堆叠。因此,TR在各个方向上划分层,在填充密度为80%时显示出最强的压缩性能,韧性为1.99J。特别是,HN随着填充密度的增加而变得更坚韧。此外,相同层叠合的HN显示出优异的电学性能,结果大于14.7 mA。电加热性能证实ZG和HN具有高层密度,表现出优异的加热特性。因此,证实了性能因3D打印方向而异,并且证实了HN适用于制造软传感器。