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Refractory Lining Health Monitoring Based on Raman Optical Time Domain Reflectometry
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware. Unit, Sweden.ORCID iD: 0000-0003-0628-8108
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware. Unit, Sweden.ORCID iD: 0000-0001-8461-2861
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware. Unit, Sweden.ORCID iD: 0000-0002-9591-3958
RISE Research Institutes of Sweden, Digital Systems, Smart Hardware. Unit, Sweden.ORCID iD: 0000-0003-0830-6226
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2023 (English)In: Proceedings of SPIE - The International Society for Optical Engineering, SPIE , 2023, Vol. 12643, article id 1264327Conference paper, Published paper (Refereed)
Abstract [en]

A fiber optic health-monitoring system for refractory lining in steel-making processes is presented. Its applicability as an early-warning system for lining damage is demonstrated by the results obtained in a field trial, in which 240 m of fiber was embedded in the lining of an electric arc furnace. The system is based on Raman distributed sensing and polyimide coated fibers in metal tube. The results presented from temperature cycling and calibration at temperatures up to 600 °C show that adequate accuracy and stability for the application can be attained.

Place, publisher, year, edition, pages
SPIE , 2023. Vol. 12643, article id 1264327
Keywords [en]
fiber optics for harsh environments, high-temperature fiber-optic sensing, Raman distributed temperature sensing, refractory lining monitoring, Electric arcs, Electric furnaces, Fiber optic sensors, Linings, Refractory materials, Steel fibers, Steelmaking, Steelmaking furnaces, Temperature sensors, Distributed temperature sensing, Fiber optic for harsh environment, Fiber-optic sensing, Fiber-optics, Harsh environment, High-temperature fibers, Refractory lining, Fiber optics
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-65743DOI: 10.1117/12.2679296Scopus ID: 2-s2.0-85163042599ISBN: 9781510665002 (electronic)OAI: oai:DiVA.org:ri-65743DiVA, id: diva2:1786980
Conference
2023 European Workshop on Optical Fibre Sensors, EWOFS 2023 Mons23. May 2023 through 26 May 2023
Note

The authors would like to acknowledge Vinnova, Sweden's innovation agency, and the Strategic innovation programme for process industrial IT and automation, for their financial support.

Available from: 2023-08-10 Created: 2023-08-10 Last updated: 2023-10-31Bibliographically approved

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Lindblom, MagnusPatzauer, MaximilianHey Tow, KennyClaesson, Åsa
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