Multi-scale characterization of self-sensing fiber reinforced composites

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/m2 were also studied. For comparison, laminates using UD carbon fabrics (300 g/m2) 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.

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Publication Details

Journal
Sensors and Actuators A Physical
Published
2024-09-03
DOI
https://doi.org/10.1016/j.sna.2024.115857
Citations
12
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
1.60

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article

Multi-scale characterization of self-sensing fiber reinforced composites

Noora Alahmed, Rehan Umer, W.J. Cantwell, Israr Ud Din et al.
12 citations
Sensors and Actuators A Physical
Smart Materials for Construction
1.60
article

Multi-scale characterization of self-sensing fiber reinforced composites

Noora Alahmed, Rehan Umer, W.J. Cantwell, Israr Ud Din, Kamran A. Khan
article en
12 citations

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/m2 were also studied. For comparison, laminates using UD carbon fabrics (300 g/m2) 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.

Sensors and Actuators A PhysicalVol. 379
Khalifa University of Science and Technology (AE)
Khalifa University of Science, Technology and Research
Sustainable cities and communities
Openalex Percentile: Top 19%
Smart Materials for Construction
1.60
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Multi-scale characterization of self-sensing fiber reinforced composites — Noora Alahmed, Rehan Umer, et al. · Sensors and Actuators A Physical (2024) | TGRS Research Map | TGRS