Defect monitoring tool for CC strands

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Standard

Defect monitoring tool for CC strands. / Hahn, Susanne; Kaltseis, Rainer; Ilie, Sergiu et al.
Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021). 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Harvard

Hahn, S, Kaltseis, R, Ilie, S, Six, J, Stechauner, G, Presoly, P, Krobath, R & Bernhard, C 2021, Defect monitoring tool for CC strands. in Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021).

APA

Hahn, S., Kaltseis, R., Ilie, S., Six, J., Stechauner, G., Presoly, P., Krobath, R., & Bernhard, C. (2021). Defect monitoring tool for CC strands. In Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021)

Vancouver

Hahn S, Kaltseis R, Ilie S, Six J, Stechauner G, Presoly P et al. Defect monitoring tool for CC strands. In Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021). 2021

Author

Hahn, Susanne ; Kaltseis, Rainer ; Ilie, Sergiu et al. / Defect monitoring tool for CC strands. Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021). 2021.

Bibtex - Download

@inproceedings{b54f79776aa245098bca84ea6ab31e28,
title = "Defect monitoring tool for CC strands",
abstract = "Primetals Technologies develops a new defect monitoring tool, a quality indicator, to evaluate the defect rate of a strand after casting based on its chemical analysis and its casting history. The defect monitor calculates defect indices for various types of internal or surface defects. It is capable to provide the defect indices already when the strand leaves the continuous caster. Based on these defect indices a quality management tool can decide about the further treatment and use of the casted products, already before or during cutting the product.All indices are mathematically modelled. Unlike other quality rating tools, the quality indicator combines calculated thermodynamical properties with process parameters and distils all this information with the help of physical considerations into simple defect indices with values between 0 and 1.This paper presents preliminary results of the validation process of the trial installation on a CCM of voestalpine Stahl Linz.",
keywords = "continous casting, defect model, quality indexes",
author = "Susanne Hahn and Rainer Kaltseis and Sergiu Ilie and Jakob Six and Georg Stechauner and Peter Presoly and Roman Krobath and Christian Bernhard",
year = "2021",
month = oct,
day = "5",
language = "English",
booktitle = "Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Defect monitoring tool for CC strands

AU - Hahn, Susanne

AU - Kaltseis, Rainer

AU - Ilie, Sergiu

AU - Six, Jakob

AU - Stechauner, Georg

AU - Presoly, Peter

AU - Krobath, Roman

AU - Bernhard, Christian

PY - 2021/10/5

Y1 - 2021/10/5

N2 - Primetals Technologies develops a new defect monitoring tool, a quality indicator, to evaluate the defect rate of a strand after casting based on its chemical analysis and its casting history. The defect monitor calculates defect indices for various types of internal or surface defects. It is capable to provide the defect indices already when the strand leaves the continuous caster. Based on these defect indices a quality management tool can decide about the further treatment and use of the casted products, already before or during cutting the product.All indices are mathematically modelled. Unlike other quality rating tools, the quality indicator combines calculated thermodynamical properties with process parameters and distils all this information with the help of physical considerations into simple defect indices with values between 0 and 1.This paper presents preliminary results of the validation process of the trial installation on a CCM of voestalpine Stahl Linz.

AB - Primetals Technologies develops a new defect monitoring tool, a quality indicator, to evaluate the defect rate of a strand after casting based on its chemical analysis and its casting history. The defect monitor calculates defect indices for various types of internal or surface defects. It is capable to provide the defect indices already when the strand leaves the continuous caster. Based on these defect indices a quality management tool can decide about the further treatment and use of the casted products, already before or during cutting the product.All indices are mathematically modelled. Unlike other quality rating tools, the quality indicator combines calculated thermodynamical properties with process parameters and distils all this information with the help of physical considerations into simple defect indices with values between 0 and 1.This paper presents preliminary results of the validation process of the trial installation on a CCM of voestalpine Stahl Linz.

KW - continous casting

KW - defect model

KW - quality indexes

M3 - Conference contribution

BT - Proceedings of the 9th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2021)

ER -

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