DATA PROCESSING OF MEASURED SURFACE TEMPERATURES OF CONTINUOUSLY CAST BILLETS AND BLOOMS TO VERIFY THE NUMERICAL SOLIDIFICATION MODEL

1 PYSZKO René
Co-authors:
1 PŘÍHODA Miroslav 1 MACHů Mário 2 FRANĚK Zdeněk
Institutions:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, rene.pyszko@vsb.cz, miroslav.prihoda@vsb.cz, mario.machu@vsb.cz
2 Silesian University in Opava, School of Business Administration in Karvina, Karvina, Czech Republic, EU, franek@opf.slu.cz
Conference:
29th International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 20 - 22, 2020
Proceedings:
Proceedings 29th International Conference on Metallurgy and Materials
Pages:
80-85
ISBN:
978-80-87294-97-0
ISSN:
2694-9296
Published:
27th July 2020
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
21 views / 9 downloads
Abstract

Numerical models of solidification and cooling of continuously cast billets or blooms are used both in research and in operational conditions to predict solid shell thickness, metallurgical length, solidification rate etc. The numerical model must be verified according to real values of quantities. Although several different quantities can be used to verify the model, most often the models are verified by comparing the calculated and measured surface temperatures of the strand in the secondary and tertiary cooling zones.The casting process is influenced by a number of known and hidden parameters, often time-varying, which are reflected in the measured surface temperatures, but which cannot be incorporated into the model due to a lack of information to define the exact boundary conditions. For the purposes of model verification, it is therefore necessary to revise the measured data. It is not enough to use only mathematical methods to process data without knowledge of the casting process, because uncertainties and temperature fluctuations have different and often difficult to detect causes. The article deals with sources of temperature uncertainties and fluctuations and methods of extraction of relevant values from measured signals.

Keywords: Continuous casting, numerical model, surface temperature measurement, model verification
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