Methodologies for the Damage Detection Based on Fiber-Optic Sensors. Applications to the Fuselage Panel and Lower Wing Panel

Güemes, Alfredo; Sierra-Pérez, Julián; Grooteman, F.P.; Kanakis, Toni; Michaelides, Pavlos G.; Habas, Dimitrios; Tur, Moshe; Gorbatov, N.; Koimtzoglou, Christos; Kontis, Nikolaos

doi:10.1007/978-3-319-22413-8_19

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Under such circumstances, structural health monitoring (SHM) has emerged as a scientific and necessary tool, playing an important role in identifying, quantifying, and deciding the health states of the high-performance composites. In addition to traditional methods, such as strain gages [ 3 ], optical fibers [ 4 ], metal oxide films [ 5 ], guided waves [ 6 , 7 , 8 ], and piezoelectric sensors [ 9 ], carbon nanomaterials are considered to be novel materials for establishing embeddable, built-in, lightweight, versatile, and flexible self-sensing technology for composites [ 10 ]. Because of their extraordinary mechanical robustness, structural non-invasiveness, and piezoresistive sensitivity [ 11 ], it is important to investigate the great potentiality of novel carbon nanomaterials-based sensors to improve the structural health monitoring performance of composites.…”

Section: Introductionmentioning

confidence: 99%

Carbon Nanomaterials Based Smart Fabrics with Selectable Characteristics for In-Line Monitoring of High-Performance Composites

Wang

Luo

2018

Materials

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Carbon nanomaterials have gradually demonstrated their superiority for in-line process monitoring of high-performance composites. To explore the advantages of structures, properties, as well as sensing mechanisms, three types of carbon nanomaterials-based fiber sensors, namely, carbon nanotube-coated fibers, reduced graphene oxide-coated fibers, and carbon fibers, were produced and used as key sensing elements embedded in fabrics for monitoring the manufacturing process of fiber-reinforced polymeric composites. Detailed microstructural characterizations were performed through SEM and Raman analyses. The resistance change of the smart fabric was monitored in the real-time process of composite manufacturing. By systematically analyzing the piezoresistive performance, a three-stage sensing behavior has been achieved for registering resin infiltration, gelation, cross-linking, and post-curing. In the first stage, the incorporation of resin expands the packing structure of various sensing media and introduces different levels of increases in the resistance. In the second stage, the concomitant resin shrinkage dominates the resistance attenuation after reaching the maximum level. In the last stage, the diminished shrinkage effect competes with the disruption of the conducting network, resulting in continuous rising or depressing of the resistance.

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Section: Introductionmentioning

confidence: 99%

Carbon Nanomaterials Based Smart Fabrics with Selectable Characteristics for In-Line Monitoring of High-Performance Composites

Wang

Luo

2018

Materials

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“…The strain based HIs managed to accurately capture the disbond propagation. Geuemes et al [15] investigated damage detection in composites using PCA to reduce the dimensionality of several FBG sensors. Using T2 and Q, they managed to distinguish between different damage states.…”

Section: B Fiber Bragg Gratingsmentioning

confidence: 99%

Health indicators for diagnostics and prognostics of composite aerospace structures

Galanopoulos

Milanoski

Broer

et al. 2021

2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace)

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Methodologies for the Damage Detection Based on Fiber-Optic Sensors. Applications to the Fuselage Panel and Lower Wing Panel

Cited by 2 publications

References 2 publications

Carbon Nanomaterials Based Smart Fabrics with Selectable Characteristics for In-Line Monitoring of High-Performance Composites

Carbon Nanomaterials Based Smart Fabrics with Selectable Characteristics for In-Line Monitoring of High-Performance Composites

Health indicators for diagnostics and prognostics of composite aerospace structures

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