Abstract
The global flow pattern of liquid metal in the slab mold of a continuous caster is difficult to control, as it cannot be measured in real-time by conventional methods. Contactless inductive flow tomography (CIFT) can easily provide real-time information about the flow structure (double or single roll) and the angle of the jet coming out of the submerged entry nozzle (SEN) just from the raw sensor data. Furthermore, by solving the underlying linear inverse problem, the full velocity field can be reconstructed. This paper discusses the possibility of applying CIFT for flow pattern recognition in continuous casting , which is then used for setting an electromagnetic brake in order to control the angle of the fluid jet. The control loop will be implemented and developed for the Mini-LIMMCAST model of a continuous caster at Helmholtz-Zentrum Dresden-Rossendorf (HZDR).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Laing J (1843) US Patent 3023
World Steel Association (2017) Steel statistical yearbook 2017
Dauby PH (2012) Continuous casting: make better steel and more of it! Rev Métall 109:113–136. https://doi.org/10.1051/metal/2012011
Wondrak T, Pal J, Stefani F et al (2018) Visualization of global flow structure in a modified Rayleigh-Bénard setup using contactless inductive flow tomography. Flow Meas Instrum 62:269–280
Ratajczak M, Gundrum T, Stefani F, Wondrak T (2014) Contactless inductive flow tomography: brief history and recent developments in its application to continuous casting. J Sens 2014:1–9. https://doi.org/10.1155/2014/739161
Stefani F, Gerbeth G (2000) On the uniqueness of velocity reconstruction in conducting fluids from measurements of induced electromagnetic fields. Inverse Prob 16:1. https://doi.org/10.1088/0266-5611/16/1/301
Stefani F, Gundrum T, Gerbeth G (2004) Contactless inductive flow tomography. Phys Rev E 70. https://doi.org/10.1103/PhysRevE.70.056306
Wondrak T, Stefani F, Gundrum T, Gerbeth G (2009) Some methodological improvements of the contactless inductive flow tomography. Int J Appl Electromagnet Mech 30:255–264. https://doi.org/10.3233/JAE-2009-1026
Wondrak T, Galindo V, Gerbeth G et al (2010) Contactless inductive flow tomography for a model of continuous steel casting. Meas Sci Technol 21:045402. https://doi.org/10.1088/0957-0233/21/4/045402
Ratajczak M, Wondrak T, Stefani F (2016) A gradiometric version of contactless inductive flow tomography: theory and first applications. Philos Trans A Math Phys Eng Sci 374. https://doi.org/10.1098/rsta.2015.0330
Zhang L, Thomas BG (2003) State of the art in evaluation and control of steel cleanliness. ISIJ Int 43:271–291. https://doi.org/10.2355/isijinternational.43.271
Gerber HL (1997) Electromagnetic processing of liquid steel. IEEE Trans Ind Appl 33:801–806. https://doi.org/10.1109/28.585873
Haiqi Y, Baofeng W, Huiqin L, Jianchao L (2008) Influence of electromagnetic brake on flow field of liquid steel in the slab continuous casting mold. J Mater Process Technol 202:179–187. https://doi.org/10.1016/j.jmatprotec.2007.08.054
Cukierski K, Thomas BG (2008) Flow control with local electromagnetic braking in continuous casting of steel slabs. Metall Mater Trans B 39:94–107. https://doi.org/10.1007/s11663-007-9109-3
Timmel K, Miao X, Lucas D et al (2010) Experimental and numerical modelling of the steel flow in a continuous casting mould under the influence of a transverse DC magnetic field. Magnetohydrodynamics 46:437–448
Harada H, Toh T, Ishii T et al (2001) Effect of magnetic field conditions on the electromagnetic braking efficiency. ISIJ Int 41:1236–1244. https://doi.org/10.2355/isijinternational.41.1236
Dekemele K, Ionescu C-M, De Doncker M, De Keyser R (2016) Closed loop control of an electromagnetic stirrer in the continuous casting process. 2016 European Control Conference (ECC). IEEE, Aalborg, pp 61–66
Romanowski A, Grudzien K, Williams RA (2005) A review of data analysis methods for electrical industrial process tomography applications. 4th World Congress on Industrial Process Tomography 916–921
Seppänen A, Voutilainen A, Kaipio JP (2009) State estimation in process tomography—reconstruction of velocity fields using EIT. Inverse Prob 25(8):085009
Timmel K, Eckert S, Gerbeth G et al (2010) Experimental modeling of the continuous casting process of steel using low melting point metal alloys—the LIMMCAST program. ISIJ Int 50:1134–1141. https://doi.org/10.2355/isijinternational.50.1134
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 764902 (TOMOCON—www.tomocon.eu).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Minerals, Metals & Materials Society
About this paper
Cite this paper
Glavinić, I. et al. (2019). Flow Control in the Model of a Continuous Caster by Using Contactless Inductive Flow Tomography. In: Lambotte, G., Lee, J., Allanore, A., Wagstaff, S. (eds) Materials Processing Fundamentals 2019. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-05728-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-05728-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05727-5
Online ISBN: 978-3-030-05728-2
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)