Joharji Lana, Alam Fahad, El-Atab Nazek
SAMA Laboratories, Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia.
ACS Omega. 2024 Mar 14;9(12):14638-14647. doi: 10.1021/acsomega.4c01171. eCollection 2024 Mar 26.
Four-dimensional (4D) printing has attracted significant attention, because it enables structures to be reconfigured based on an external stimulus, realizing complex architectures that are useful for different applications. Nevertheless, most previously reported 4D-printed components have focused on actuators, which are just one part of a full soft robotic system. In this study, toward achieving fully 4D-printed systems, the design and direct ink writing of sensors with a straining mechanism that mimics the 4D effect are explored. Solution-processable carbon nanotubes (CNTs) were used as the sensing medium, and the effect of a heat-shrinkable shape-memory polymer-based substrate (i.e., potential 4D effect) on the electronic and structural properties of CNTs was assessed, followed by their application in various sensing devices. Herein, we reveal that substrate shrinking affords a more porous yet more conductive film owing to the compressive strain experienced by CNTs, leading to an increase in the carrier concentration. Furthermore, it improves the sensitivity of the devices without the need for chemical functionalization. Interestingly, the results show that, by engineering the potential 4D effect, the selectivity of the sensor can be tuned. Finally, the sensors were integrated into a fully 4D-printed flower structure, exhibiting their potential for different soft robotic applications.
四维(4D)打印已引起广泛关注,因为它能使结构基于外部刺激进行重构,实现适用于不同应用的复杂架构。然而,此前报道的大多数4D打印组件都集中在致动器上,而致动器只是完整软机器人系统的一部分。在本研究中,为实现完全4D打印系统,探索了具有模拟4D效应的应变机制的传感器的设计和直接墨水书写。可溶液加工的碳纳米管(CNT)被用作传感介质,并评估了基于热收缩形状记忆聚合物的基底(即潜在的4D效应)对CNT的电子和结构性能的影响,随后将其应用于各种传感装置。在此,我们揭示基底收缩由于CNT所经历的压缩应变而提供了一个孔隙率更高但导电性更强的薄膜,导致载流子浓度增加。此外,它提高了器件的灵敏度而无需化学功能化。有趣的是,结果表明,通过设计潜在的4D效应,可以调节传感器的选择性。最后,这些传感器被集成到一个完全4D打印的花朵结构中,展示了它们在不同软机器人应用中的潜力。