Comparison of Finite-difference and Data-based Models of Temperature Transfer Process in Heating Furnaces for Cast Billet Temperature Prediction

Zhukov, Petr; Fomin, Andrey; Glushchenko, Anton; Подвальный, Е. С.

doi:10.1109/summa53307.2021.9632048

Cited by 5 publications

(1 citation statement)

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“…In [ 25 ], a prediction model that is based on a gate recurrent unit was established to forecast the inside temperature of the furnace by measuring the temperature, fuel, and air-time series. In [ 26 ], a finite-difference model of a steel heating process is developed using differential equations of transient heat conduction.…”

Section: Introductionmentioning

confidence: 99%

Data Analysis and Modelling of Billets Features in Steel Industry

Zanoli

Pepe

Moscoloni³

et al. 2022

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%