A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel

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A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel. / Bernhard, Michael Christian; Santos, Gabriel; Preuler, Lukas et al.
In: Steel research international, Vol. 93.2022, No. 5, 2200089, 04.2022.

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Bernhard MC, Santos G, Preuler L, Taferner M, Wieser G, Laschinger J et al. A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel. Steel research international. 2022 Apr;93.2022(5):2200089. Epub 2022 Apr 28. doi: 10.1002/srin.202200089

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@article{eb41bd9ad4de472f9ae6bc9c2f358dba,
title = "A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel",
abstract = "The market requirements on steel products with the highest surface and internal quality demand stimulate a systematic control of the steel solidification behavior during the continuous casting process. Computational process modeling is increasingly applied to understand and optimize casting practices and calibrate the soft reduction to guarantee the required product quality. In this work, we present an overview of m2CAST as a “development platform” for the continuous casting process. This platform consists of a numerical heat transfer model, considers results of laboratory experiments in the calculations, e.g. thermal analysis and nozzle measuring stand (NMS), and provides the option to use relevant process data. We investigated two case studies on a continuous slab caster at voestalpine Stahl Linz GmbH. In doing so, thermal boundary conditions obtained by the NMS were implemented, and the simulation trials were validated with temperature measurements of the dragged thermocouple method installed during the casting process. The temperature distribution over the strand width was measured additionally with two pyrometers placed in the straightening zone. Excellent agreement between the calculated strand surface temperature and the measured temperature was obtained. Furthermore, the results indicate the relevance of considering the roller bearing areas in defining the boundary conditions to accurately predict the shape of the crater end in the casting machine.",
author = "Bernhard, {Michael Christian} and Gabriel Santos and Lukas Preuler and Matthias Taferner and Gerhard Wieser and Julian Laschinger and Sergiu Ilie and Christian Bernhard",
year = "2022",
month = apr,
doi = "10.1002/srin.202200089",
language = "English",
volume = "93.2022",
journal = "Steel research international",
issn = "0177-4832",
publisher = "Verlag Stahleisen GmbH",
number = "5",

}

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TY - JOUR

T1 - A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steel

AU - Bernhard, Michael Christian

AU - Santos, Gabriel

AU - Preuler, Lukas

AU - Taferner, Matthias

AU - Wieser, Gerhard

AU - Laschinger, Julian

AU - Ilie, Sergiu

AU - Bernhard, Christian

PY - 2022/4

Y1 - 2022/4

N2 - The market requirements on steel products with the highest surface and internal quality demand stimulate a systematic control of the steel solidification behavior during the continuous casting process. Computational process modeling is increasingly applied to understand and optimize casting practices and calibrate the soft reduction to guarantee the required product quality. In this work, we present an overview of m2CAST as a “development platform” for the continuous casting process. This platform consists of a numerical heat transfer model, considers results of laboratory experiments in the calculations, e.g. thermal analysis and nozzle measuring stand (NMS), and provides the option to use relevant process data. We investigated two case studies on a continuous slab caster at voestalpine Stahl Linz GmbH. In doing so, thermal boundary conditions obtained by the NMS were implemented, and the simulation trials were validated with temperature measurements of the dragged thermocouple method installed during the casting process. The temperature distribution over the strand width was measured additionally with two pyrometers placed in the straightening zone. Excellent agreement between the calculated strand surface temperature and the measured temperature was obtained. Furthermore, the results indicate the relevance of considering the roller bearing areas in defining the boundary conditions to accurately predict the shape of the crater end in the casting machine.

AB - The market requirements on steel products with the highest surface and internal quality demand stimulate a systematic control of the steel solidification behavior during the continuous casting process. Computational process modeling is increasingly applied to understand and optimize casting practices and calibrate the soft reduction to guarantee the required product quality. In this work, we present an overview of m2CAST as a “development platform” for the continuous casting process. This platform consists of a numerical heat transfer model, considers results of laboratory experiments in the calculations, e.g. thermal analysis and nozzle measuring stand (NMS), and provides the option to use relevant process data. We investigated two case studies on a continuous slab caster at voestalpine Stahl Linz GmbH. In doing so, thermal boundary conditions obtained by the NMS were implemented, and the simulation trials were validated with temperature measurements of the dragged thermocouple method installed during the casting process. The temperature distribution over the strand width was measured additionally with two pyrometers placed in the straightening zone. Excellent agreement between the calculated strand surface temperature and the measured temperature was obtained. Furthermore, the results indicate the relevance of considering the roller bearing areas in defining the boundary conditions to accurately predict the shape of the crater end in the casting machine.

U2 - 10.1002/srin.202200089

DO - 10.1002/srin.202200089

M3 - Article

VL - 93.2022

JO - Steel research international

JF - Steel research international

SN - 0177-4832

IS - 5

M1 - 2200089

ER -