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Data Analysis and Modelling of Billets Features in Steel Industry.
- Source :
- Sensors (14248220); Oct2022, Vol. 22 Issue 19, p7333-7333, 20p
- Publication Year :
- 2022
-
Abstract
- This study proposes a data analysis and modelization method for the rolling mill process of billets in steel plants. By exploiting rolling mill signals and advanced data processing algorithms, a reliable billet tracking system is designed, which tracks each workpiece from the furnace entrance to the rolling mill stands' exit area. Based on the stored information, two problems are addressed: the data analysis of the temperature sensors (a thermal imaging camera and pyrometers) and the current that is related to the rolling mill stands' absorption, and subsequently, a mathematical modelization of the billets' temperature along their path in the rolling mill is produced. The data analysis suggested that we should perform hardware modifications: the thermal imaging camera was repositioned to avoid the effect of scale formation on the temperature measurements. The modelization phase provided the basis for future control and/or diagnosis applications that will exploit a temperature decay model. [ABSTRACT FROM AUTHOR]
- Subjects :
- STEEL industry
THERMAL imaging cameras
DATA analysis
ROLLING-mills
DATA modeling
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 22
- Issue :
- 19
- Database :
- Complementary Index
- Journal :
- Sensors (14248220)
- Publication Type :
- Academic Journal
- Accession number :
- 159699411
- Full Text :
- https://doi.org/10.3390/s22197333