Coating Glass Fibre Yarn with Conductive Materials for Real-Time Structure Sensing

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Khalid Alblalaihid, Saleh A. Alghamdi, Anas Alburayt, Abdulaziz Alharbi, Saad Aldoihi, Ahmed Alwahid, Meshal Abuobaid, Sabri Alkhibari, Khalid Khormi, Ibrahim Almuzini, Khaled S. Almutairi, Ibrahim M. Alarifi
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Abstract

Nowadays, the demand for glass fibre-reinforced polymers (GFRPs) has increased in the industry owing to their low weight, high strength, corrosion resistance and low cost compared with other fibre-reinforced polymer composites. However, GFRP is anisotropic material with low interlaminar strength where the damage can occur without warning. Integrating a real-time damage detection process can mitigate this problem. Therefore, this paper presents the initial fabrication of an embedded capacitive sensor into the GFRP by using conductive electrodes inbetween its layers. To form the sensing electrodes, glass fibre yarns were coated with conductive material and braided into the fibregalss woven fabric. Two coating methods were considered to form embedded electrodes in this work which include aerosol spray coatings that were carbon based and gold-based physical vapour deposition, (PVD). It has been shown that spray coating has a weak bond and the carbon particles disperse during the molding process. In the PVD technique the nanoparticle (Au) distributed uniformly along the fibres and has a good resistance (≈100Ω). The capacitive sensor based on gold coating was exaimined using a three point bending test which demonstrate linear response toward the flexural load with a sensitivity of 25.1 fF/N.
在玻璃纤维纱上涂覆导电材料用于实时结构传感
目前,与其他纤维增强聚合物复合材料相比,玻璃纤维增强聚合物(gfrp)具有重量轻、强度高、耐腐蚀和成本低等优点,在工业上的需求有所增加。然而,GFRP是各向异性材料,层间强度低,可能在没有预警的情况下发生损伤。集成实时损伤检测过程可以缓解这一问题。因此,本文提出了通过在其层之间使用导电电极在GFRP中嵌入电容式传感器的初步制造。为了形成传感电极,在玻璃纤维纱线上涂上导电材料,并将其编织到玻璃纤维机织织物中。本工作考虑了两种形成嵌入式电极的涂层方法,包括碳基和金基物理气相沉积(PVD)的气溶胶喷涂涂层。结果表明,喷涂层粘结较弱,在成型过程中碳颗粒分散。在PVD技术中,纳米颗粒(Au)沿纤维均匀分布并具有良好的电阻(≈100Ω)。采用三点弯曲试验验证了基于金涂层的电容式传感器对弯曲载荷的线性响应,灵敏度为25.1 fF/N。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Science and Technology-Research Journal
Advances in Science and Technology-Research Journal ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
27.30%
发文量
152
审稿时长
8 weeks
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