Scalable and multifunctional carbon nanotube-based textile as distributed sensors for flow and cure monitoring

Scalable and multifunctional carbon nanotube-based textile as distributed sensors for flow and cure monitoring
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DOI:
10.1016/j.carbon.2020.02.079
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发表时间:
2020-08-30
期刊:
影响因子:
10.9
通讯作者:
Thostenson, Erik T.
Thostenson, Erik T.
中科院分区:
材料科学2区
文献类型:
--
作者:
Dai, Hongbo;Thostenson, Erik T.

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许多制造工艺涉及聚合物材料的流动和固化,开发用于原位实时检测这些现象的传感器对于减少加工时间和提高质量非常重要。本文报道了一种新型多功能传感器的开发,其中碳纳米管沉积在无纺纺织品上以创建薄且多孔的区域传感器。该传感器采用可扩展的浸涂工艺生产,碳纳米管在织物上形成导电网络。用于先进纤维复合材料的真空辅助树脂传递模塑 (VARTM) 用于通过使用全局和局部分布式测量来监测环氧树脂的流动来验证传感器。使用电阻抗断层扫描 (EIT) 演示空间流图。在一系列二维径向流动实验中,EIT 图在流动前沿位置和形状方面展示了对树脂流动的准确估计,并且能够精确定位干点和不饱和区域。在高温固化过程中,传感器电响应可以直接与环氧树脂的粘度和凝胶化变化相关。该传感器具有作为流动和固化以及结构健康监测的过程传感器的潜力。 (C) 2020 Elsevier Ltd. 保留所有权利。
Many manufacturing processes involve flow and cure of polymeric materials and development of sensors to detect these phenomena in situ and in real-time is important to reduce processing time and improve quality. This paper reports the development of a novel multifunctional sensor where carbon nanotubes are deposited onto a nonwoven textile to create a thin and porous areal sensor. The sensor is produced using a scalable dip-coating process and carbon nanotubes form an electrically conductive network on the fabric. Vacuum assisted resin transfer molding (VARTM) for advanced fiber composites is used to validate the sensor by using global and local distributed measurements to monitor the flow of epoxy resin. Spatial flow mapping is demonstrated using electrical impedance tomography (EIT). In a series of 2-D radial flow experiments, the EIT maps demonstrate accurate estimations for the resin flow, in terms of flow front location and shape, and is able to pinpoint dry spots and unsaturated regions. During elevated temperature cure, the sensor electrical response can be correlated directly to changes in viscosity and gelation of the epoxy. The sensor offers potential as a process sensor for flow and cure as well as for structural health monitoring. (C) 2020 Elsevier Ltd. All rights reserved.