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Multi-scale characterization of self-sensing fiber reinforced composites

Noora Alahmed, Israr Ud Din, W.J. Cantwell, Rehan Umer, Kamran A. Khan

2024Sensors and Actuators A Physical14 citationsDOIOpen Access PDF

Abstract

The piezoresistive properties of fiber-based embedded sensors across tow, fabric, and laminate scales offer opportunities for their efficient application in fiber reinforced polymer composite (FRPC) structures. This study involves the multi-scale characterization of rGO-coated glass fiber tows, fabric, and laminates produced via vacuum assisted resin transfer molding (VARTM). The study demonstrates how fiber type , areal weight, and architecture affect piezoresistivity in rGO-coated glass fiber-based sensors subjected to in-plane tensile loading. In this study, rGO-coated glass fiber tows, with three linear densities (138, 1200, 1232 TEX), were examined. Fabric-level sensors, including plain weave (PW), and quadriaxial (QUAD), with areal densities of 200, 600, and 807 g/m 2 were also studied. For comparison, laminates using UD carbon fabrics (300 g/m 2 ) were employed as embedded piezoresistive sensors in the glass fiber-based laminates. It has been shown that rGO-coated sensors with lower areal weights outperformed all other sensor types in terms of their piezoresistive characteristics. This study suggests that piezoresistive sensors offer significant potential for use in load-bearing structural applications which can be further enhanced by investigating their lower scales.

Topics & Concepts

Characterization (materials science)Composite materialMaterials scienceFiberScale (ratio)NanotechnologyPhysicsQuantum mechanicsSmart Materials for ConstructionElectromagnetic wave absorption materialsDielectric materials and actuators
Multi-scale characterization of self-sensing fiber reinforced composites | Litcius