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https://hdl.handle.net/10442/19442
Εξειδίκευση τύπου : | Άρθρο σε επιστημονικό περιοδικό |
Τίτλος: | Structural Health Monitoring of Solid Rocket Motors: From Destructive Testing to Perspectives of Photonic-Based Sensing |
Δημιουργός/Συγγραφέας: | Korompili, Georgia Mußbach, Günter [EL] Ριζιώτης, Χρήστος Δ.[EN] Riziotis, Christos |
Ημερομηνία: | 2024 |
Γλώσσα: | Αγγλικά |
ISSN: | 2410-390X |
DOI: | 10.3390/instruments8010016 |
Περίληψη: | In the realm of space exploration, solid rocket motors (SRMs) play a pivotal role due to their reliability and high thrust-to-weight ratio. Serving as boosters in space launch vehicles and employed in military systems, and other critical & emerging applications, SRMs’ structural integrity monitoring, is of paramount importance. Traditional maintenance approaches often prove inefficient, leading to either unnecessary interventions or unexpected failures. Condition-based maintenance (CBM) emerges as a transformative strategy, incorporating advanced sensing technologies and predictive analytics. By continuously monitoring crucial parameters such as temperature, pressure, and strain, CBM enables real-time analysis, ensuring timely intervention upon detecting anomalies, thereby optimizing SRM lifecycle management. This paper critically evaluates conventional SRM health diagnosis methods and explores emerging sensing technologies. Photonic sensors and fiber-optic sensors, in particular, demonstrate exceptional promise. Their enhanced sensitivity and broad measurement range allow precise monitoring of temperature, strain, pressure, and vibration, capturing subtle changes indicative of degradation or potential failures. These sensors enable comprehensive, non-intrusive monitoring of multiple SRM locations simultaneously. Integrated with data analytics, these sensors empower predictive analysis, facilitating SRM behavior prediction and optimal maintenance planning. Ultimately, CBM, bolstered by advanced photonic sensors, promises enhanced operational availability, reduced costs, improved safety, and efficient resource allocation in SRM applications. |
Τίτλος πηγής δημοσίευσης: | Instruments |
Τόμος/Κεφάλαιο: | 8 |
Τεύχος: | 1 |
Θεματική Κατηγορία: | [EL] Εφαρμοσμένη οπτική. Φωτονική[EN] Applied optics. Photonics [EL] Τεχνολογία[EN] Technology |
Λέξεις-Κλειδιά: | solid rocket motors condition-based maintenance structural health monitoring fiber-optic sensors fiber Bragg gratings diagnostics machine learning |
Χρηματοδότης: | Bayern Chemie GmbH (MBDA Missile Systems Group) |
EU Grant: | Project RocketSens |
EU Grant identifier: | 2018-0720-1 |
Κάτοχος πνευματικών δικαιωμάτων: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. |
Όροι και προϋποθέσεις δικαιωμάτων: | 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/). |
Ηλεκτρονική διεύθυνση στον εκδότη (link): | https://doi.org/10.3390/instruments8010016 |
Εμφανίζεται στις συλλογές: | Ινστιτούτο Θεωρητικής και Φυσικής Χημείας (ΙΘΦΧ) - Επιστημονικό έργο
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