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Metallurgist
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12-05-2022

Experience in Developing Digital Twins Of Melting Processes in EAF for Solving Technological Problems of Producing a Semi-Finished Product with Required Quality Characteristics

Authors: A. A. Safronov, L. V. Ronkov, A. N. Mal’ginov, I. A. Ivanov, I. A. Shchepkin, V. K. Yashchenko, A. N. Tokhtamyshev

Published in: Metallurgist | Issue 11-12/2022

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Abstract

The article explores the use of digital twins to enhance the quality of semi-finished products in electric-arc furnaces (EAFs). It delves into the challenges of modeling oxidation and reduction processes during smelting, highlighting the development of sophisticated mathematical models using machine learning techniques. These models predict and optimize process parameters in real-time, addressing the limitations of traditional deterministic approaches. The article also discusses the integration of general and partial models to improve predictive accuracy and adaptability. Notably, it identifies and addresses shortcomings in the initial digital twin model, proposing corrections to enhance its reliability and effectiveness in practical applications.
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Metadata
Title
Experience in Developing Digital Twins Of Melting Processes in EAF for Solving Technological Problems of Producing a Semi-Finished Product with Required Quality Characteristics
Authors
A. A. Safronov
L. V. Ronkov
A. N. Mal’ginov
I. A. Ivanov
I. A. Shchepkin
V. K. Yashchenko
A. N. Tokhtamyshev
Publication date
12-05-2022
Publisher
Springer US
Published in
Metallurgist / Issue 11-12/2022
Print ISSN: 0026-0894
Electronic ISSN: 1573-8892
DOI
https://doi.org/10.1007/s11015-022-01276-4

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