Liquid Core Detection and Strand Condition Monitoring in a Continuous Caster Using Optical Fiber
Author:
Neelakandan Deva Prasaad, Alla Dinesh Reddy, Huang JieORCID, O’Malley Ronald J.ORCID
Abstract
Real-time monitoring of the liquid core position during the continuous casting of steel has been demonstrated using low-cost distributed optical-fiber-based strain sensors. These sensors were installed on the containment roll support structures in the segments of a production continuous caster to detect the position of the solid–liquid interface and monitor the strand condition during the continuous casting. Distributed Fiber Bragg Grating sensors (FBGs) were used in this work to monitor strain at six roll positions in the caster. The sensor performance was first validated by comparing optical strain measurements with conventional strain gauge measurements in the lab. Next, optical strain measurements were performed on an isolated caster segment in a segment maintenance facility using hydraulic jacks to simulate the presence of a liquid core under the roll. Finally, the sensors were evaluated during caster operation. The sensors successfully detected the load increase associated with the presence of a liquid core under each instrumented roll location. Incidents of bulging and roll eccentricity were also detected using frequency analysis of the optical strain signal. The liquid core position measurements were compared using predictions from computer models (digital twins) in use at the production site. The measurements were in good agreement with the model predictions, with a few exceptions. Under certain transient caster operating conditions, such as spraying practice changes and SEN exchanges, the model predictions deviated slightly from the liquid core position determined from strain measurements.
Funder
U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference28 articles.
1. Thomas, B., Grafton, W., Wilkins, L., Bentsman, J., Zheng, K., Vapalahti, S., Petrus, B., Kim, J., Behera, A., and Castillejos, E. (2006, January 1). Online Dynamic Control of Cooling in Continuous Casting of Thin Steel Slabs. Proceedings of the NSF Grant Conference, St. Louis, MO, USA. 2. Challapalli, L., Ometto, S., Busolini, M., and Polo, A. (2019, January 6–9). Modernization of Continuous Casting Machine in the Era of Intelligent Manufacturing. Proceedings of the AISTech 2019, Pittsburgh, PA, USA. 3. Development and application of mould breakout prediction system with online thermal map for steel continuous casting;He;Ironmak. Steelmak.,2014 4. Mold breakout prediction in slab continuous casting based on combined method of GA-BP neural network and logic rules;He;Int. J. Adv. Manuf. Technol.,2018 5. Zhang, T., Yang, J., and Jiang, P. (2019). Measurement of Molten Steel Velocity near the Surface and Modeling for Transient Fluid Flow in the Continuous Casting Mold. Metals, 9.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|