基于 CNT 和二维材料涂层织物传感器的自感应压阻航空航天复合材料

Electron Pub Date : 2024-08-23 DOI:10.1002/elt2.61
Tayyab Khan, Rehan Umer
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引用次数: 0

摘要

正在进行的第四次工业革命,又称 "工业 4.0",是通过整合智能自主系统、物联网(IoT)、机器人技术和人工智能实现各种制造系统数字化的驱动力。就航空航天复合材料而言,在过去的十多年中,已经开展了全面的研究,以制造能够监测自身健康状态的智能自感应纤维增强聚合物复合材料。本综述重点介绍了采用纳米材料涂层压阻织物传感器(如碳纳米管 (CNT)、石墨烯和 MXene)的智能自感应纤维增强复合材料的最新发展。全面概述了涉及整个树脂灌注周期的过程监控,如压实响应、树脂流监控、模具内压力变化、过程诱发缺陷监控以及固化/后固化监控。此外,还详细讨论了复合材料的制造后结构健康监测(SHM)。此外,还概述了这些传感器所面临的相关挑战,例如可制造性、稳健性、电导率/压阻率校准以及对结构完整性的影响。最后,还讨论了这些传感器在物理和网络领域应用于未来智能工厂的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Self-sensing piezoresistive aerospace composites based on CNTs and 2D material coated fabric sensors

Self-sensing piezoresistive aerospace composites based on CNTs and 2D material coated fabric sensors

The ongoing fourth industrial revolution, also known as “Industry 4.0” is the driving force behind the digitalization of various manufacturing systems by incorporating smart autonomous systems, the Internet of Things (IoT), robotics, and artificial intelligence. In terms of aerospace composites, comprehensive research has been carried out in the past decade or so to manufacture smart and self-sensing fiber-reinforced polymer composites capable of monitoring their own health states. This review focuses on recent developments in smart, self-sensing fiber-reinforced composites incorporating nanomaterial-coated piezoresistive fabric sensors such as carbon nanotubes (CNTs), graphene, and MXene. A comprehensive overview of process monitoring involving the complete resin infusion cycle, such as compaction response, resin flow monitoring, pressure variations within the mold, process-induced defects monitoring, and cure/post-cure monitoring, has been provided. The post-manufacturing structuring health monitoring (SHM) of composites has also been discussed in detail. An overview of the associated challenges of these sensors, such as manufacturability, robustness, conductivity/piezoresistivity calibration, and the effect on structural integrity, is presented. Finally, future insights into the application of these sensors in the physical and cyber domains for smart factories of the future have also been discussed.

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