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Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology
In the proposed work, a fiber-optic-based sensor network was employed for the monitoring of the liquid resin infusion process. The item under test was a panel composed by a skin and four stringers, sensorized in such a way that both the temperature and the resin arrival could be monitored. The netwo...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779541/ https://www.ncbi.nlm.nih.gov/pubmed/35062466 http://dx.doi.org/10.3390/s22020508 |
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author | Marrazzo, Vincenzo Romano Laudati, Armando Vitale, Michele Fienga, Francesco Iagulli, Gianni Raffone, Marco Cusano, Andrea Giordano, Michele Cutolo, Antonello Breglio, Giovanni |
author_facet | Marrazzo, Vincenzo Romano Laudati, Armando Vitale, Michele Fienga, Francesco Iagulli, Gianni Raffone, Marco Cusano, Andrea Giordano, Michele Cutolo, Antonello Breglio, Giovanni |
author_sort | Marrazzo, Vincenzo Romano |
collection | PubMed |
description | In the proposed work, a fiber-optic-based sensor network was employed for the monitoring of the liquid resin infusion process. The item under test was a panel composed by a skin and four stringers, sensorized in such a way that both the temperature and the resin arrival could be monitored. The network was arranged with 18 Fiber Bragg Gratings (FBGs) working as temperature sensors and 22 fiber optic probes with a modified front-end in order to detect the resin presence. After an in-depth study to find a better solution to install the sensors without affecting the measurements, the system was investigated using a commercial Micron Optics at 0.5 Hz, with a passive split-box connected in order to be able to sense all the sensors simultaneously. The obtained results in terms of resin arrival detection at different locations and the relative temperature trend allowed us to validate an infusion process numerical model, giving us better understanding of what the actual resin flow was and the time needed to dry preform filling during the infusion process. |
format | Online Article Text |
id | pubmed-8779541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87795412022-01-22 Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology Marrazzo, Vincenzo Romano Laudati, Armando Vitale, Michele Fienga, Francesco Iagulli, Gianni Raffone, Marco Cusano, Andrea Giordano, Michele Cutolo, Antonello Breglio, Giovanni Sensors (Basel) Article In the proposed work, a fiber-optic-based sensor network was employed for the monitoring of the liquid resin infusion process. The item under test was a panel composed by a skin and four stringers, sensorized in such a way that both the temperature and the resin arrival could be monitored. The network was arranged with 18 Fiber Bragg Gratings (FBGs) working as temperature sensors and 22 fiber optic probes with a modified front-end in order to detect the resin presence. After an in-depth study to find a better solution to install the sensors without affecting the measurements, the system was investigated using a commercial Micron Optics at 0.5 Hz, with a passive split-box connected in order to be able to sense all the sensors simultaneously. The obtained results in terms of resin arrival detection at different locations and the relative temperature trend allowed us to validate an infusion process numerical model, giving us better understanding of what the actual resin flow was and the time needed to dry preform filling during the infusion process. MDPI 2022-01-10 /pmc/articles/PMC8779541/ /pubmed/35062466 http://dx.doi.org/10.3390/s22020508 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marrazzo, Vincenzo Romano Laudati, Armando Vitale, Michele Fienga, Francesco Iagulli, Gianni Raffone, Marco Cusano, Andrea Giordano, Michele Cutolo, Antonello Breglio, Giovanni Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title | Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title_full | Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title_fullStr | Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title_full_unstemmed | Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title_short | Liquid Resin Infusion Process Validation through Fiber Optic Sensor Technology |
title_sort | liquid resin infusion process validation through fiber optic sensor technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779541/ https://www.ncbi.nlm.nih.gov/pubmed/35062466 http://dx.doi.org/10.3390/s22020508 |
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