Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

IF 6 3区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Advanced Materials Technologies Pub Date : 2026-08-07 Epub Date: 2026-02-08 DOI:10.1002/admt.202502030
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim
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Abstract

The study focuses on developing smart, sustainable sizing agents that impart functional properties to glass fabrics (GFs). A series of graphene/waterborne polyurethane (WPU) dispersions is formulated and optimised to transform insulative GFs into electrically conductive ‘smart’ fabrics with strain-sensing capabilities. The novelty of this work lies in a stable, waterborne graphene sizing formulation that enables direct, single-step dip-coating of GFs, eliminating the need for multi-layer deposition, post-processing, or hazardous chemicals. Dispersion stability is assessed using T2 relaxation time measurements on a nuclear magnetic resonance (NMR) spectrometer. The optimised formulation used to coat the GFs in this study exhibits good dispersion stability (T2 value of 822.7 ms), higher than that of the other formulations developed. This enhanced stability directly contributed to uniform coating morphology and effective electrical conductivity across the GFs. Additionally, comprehensive material characterisation is conducted to analyse the structural, morphological, and chemical properties of the advanced graphene/WPU formulations. Electromechanical testing demonstrates reproducible piezoresistive behavior under cyclic compressive loading, with force estimation accuracy remaining below 10% (RMSE) for loads exceeding 1000 N and improving to below 4% for loads within 1.2–5 kN. The force–conductance calibration shows strong reproducibility (R2 ≈ 1), supporting reliable sensing performance under medium-to-high load regimes relevant to structural health monitoring (SHM). The findings of the study offer a sustainable and scalable alternative to traditional solvent-based systems, addressing environmental concerns while enabling high-performance applications in composite manufacturing.

Abstract Image

智能和可持续上浆:研究水性聚氨酯/石墨烯分散体涂层玻璃织物的传感行为
这项研究的重点是开发智能、可持续的上浆剂,赋予玻璃织物(GFs)功能特性。一系列石墨烯/水性聚氨酯(WPU)分散体的配方和优化,将绝缘GFs转变为具有应变传感能力的导电“智能”织物。这项工作的新颖之处在于一种稳定的水性石墨烯上浆配方,可以实现石墨烯的直接单步浸渍涂层,从而消除了多层沉积、后处理或危险化学品的需要。利用核磁共振(NMR)光谱仪上的T2弛豫时间测量来评估色散稳定性。本研究中用于GFs涂层的优化配方具有良好的分散稳定性(T2值为822.7 ms),高于其他开发的配方。这种增强的稳定性直接促进了均匀的涂层形态和有效的导电性。此外,还进行了全面的材料表征,以分析先进石墨烯/WPU配方的结构、形态和化学性质。机电测试表明,在循环压缩载荷下,压阻性能可重现,在超过1000 N的载荷下,力估计精度保持在10% (RMSE)以下,在1.2-5 kN载荷下,力估计精度提高到4%以下。力电导校准显示出很强的再现性(R2≈1),支持与结构健康监测(SHM)相关的中高负荷下可靠的传感性能。该研究结果为传统的溶剂型系统提供了一种可持续的、可扩展的替代方案,解决了环境问题,同时实现了复合材料制造中的高性能应用。
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来源期刊
Advanced Materials Technologies
Advanced Materials Technologies Materials Science-General Materials Science
CiteScore
10.20
自引率
4.40%
发文量
566
期刊介绍: Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.
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