Development and characterization of graphene nanoplatelet-based strain sensors for structural health monitoring

Nanocomposites based on graphene nanoplatelets (GNPs) were developed using SX10 EVO epoxy resin matrix. Electrical conductivity measurements showed significant improvement with increasing GNP content, reaching a maximum value at the saturation of the electrical network. The electrical behavior and performance of the fabricated nanocomposite sheets as strain sensors were investigated. Sensors with graphene content near the percolation threshold exhibited the highest gauge factor due to the tunneling effect, making them more sensitive to strain. However, further increasing the GNP content enhanced electrical conductivity while reducing sensitivity. The sensors demonstrated good stability and reversibility. The highest gauge factor (GF) was observed in $5 \mathrm{wt} \%$ GNP content, with a value near 20. Finally, the response of the sensors under cyclic tests was assessed, demonstrating the high robustness of the proposed sensors for aerospace applications.

Authors

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/metroaerospace64938.2025.11114465
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and characterization of graphene nanoplatelet-based strain sensors for structural health monitoring

Stefania Corvaglia, Muhammad Zahid, M. Giordano, Agostino Iadicicco et al.
Advanced Sensor and Energy Harvesting Materials
article

Development and characterization of graphene nanoplatelet-based strain sensors for structural health monitoring

Stefania Corvaglia, Muhammad Zahid, M. Giordano, Agostino Iadicicco, Stefania Campopiano, Fabrizia Cilento, Flavio Esposito, Lucia Sansone, Pegah Zarafshani
article en

Abstract

Nanocomposites based on graphene nanoplatelets (GNPs) were developed using SX10 EVO epoxy resin matrix. Electrical conductivity measurements showed significant improvement with increasing GNP content, reaching a maximum value at the saturation of the electrical network. The electrical behavior and performance of the fabricated nanocomposite sheets as strain sensors were investigated. Sensors with graphene content near the percolation threshold exhibited the highest gauge factor due to the tunneling effect, making them more sensitive to strain. However, further increasing the GNP content enhanced electrical conductivity while reducing sensitivity. The sensors demonstrated good stability and reversibility. The highest gauge factor (GF) was observed in $5 \mathrm{wt} \%$ GNP content, with a value near 20. Finally, the response of the sensors under cyclic tests was assessed, demonstrating the high robustness of the proposed sensors for aerospace applications.

Parthenope University of Naples (IT), Istituto Oncologico Romagnolo (IT), Institute of Polymers, Composites and Biomaterials (IT)
Openalex Percentile: Top 79%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.