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Metallurgist
Erschienen in: Metallurgist 9-10/2023

28.02.2023

Digitalization as the Most Important Tool for the Improvement of Metallurgical Technologies

verfasst von: A. V. Muntin, M. N. Shamshin, A. G. Ziniagin, O. S. Hlybov, A. S. Zonov, L. M. Kavitsian, S. D. Skachkov

Erschienen in: Metallurgist | Ausgabe 9-10/2023

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Abstract

This article presents examples of digitalization projects implemented most recently at Vyksa Steel Works (Russia). The results are obtained using the methods of machine learning (i.e., predicting the mechanical properties of rolled steel), computer vision (i.e., controlling leaks during hydrotesting of pipes and analyzing thermal scans of the surface of hot-rolled plates at Mill 5000), and solving non-steady equations of heat conduction (i.e., predicting the temperatures of stacks of hot-rolled plates at Mill 5000), as well as problems of linear programming (i.e., calculating the optimal cutting of billets for the production of weldless pipes).
Vorheriger Artikel Aspects of the Production Technology of Largesized Clad Plates and Large Diameter Pipes Made From Them
Nächster Artikel Effect of Hydrogen Sulfide on Pipe Steel Carbon Dioxide Corrosion

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Fußnoten
1
The process engineer of EWPW-3 S.S. Zaitsev took part in the work.
 
Literatur
1.
“Russia forges digital metal,” Connect, No. 1-2, 28–39 (2022).
2.
O. A. Romanova and D. V. Sirotin, “Digitalization of production processes in metallurgy: trends and measurement methods,” Izv. Ural’sk. Gos. Gorn. Univ., No. 3 (63), 136–148 (2021).
3.
OST 14-1-34–90, Statistical Acceptance Control of the Quality of Metal Products by Correlation between Parameters.
4.
GOST R ISO 3534-1, Statistical Methods. Probability and Bases of Statistics. Terms and Definitions.
5.
GOST R 50779.53–98, Statistical Methods. Acceptance Quality Control on a Quantitative Basis for the Normal Distribution Law. Part 1. Known Standard Deviation.
6.
GOST R 50779.77, Statistical Methods. Plans and Procedures for Statistical Acceptance Control of Non-Piece Products.
7.
GOST 27.202, Equipment Reliability. Technological Systems. Methods for Assessing Reliability in Terms of Quality Parameters of Manufactured Products.
8.
9.
V. V. Kitov, “Investigation of the accuracy of the gradient boosting method with random rotations,” Statistika Ekon., No. 4, 22–26 (2016).
10.
O. S. Khlybov, D. V. Khrameshin, and Z. K. Kabakov, “Development and implementation of an automatic system for certification of metal by mechanical properties at the Vyksa production site,” Metallurg, No. 8, 14–20 (2017).
11.
V. F. Zotov, Rolled Products Manufacture [in Russian], Intermet Engineering, Moscow (2000).
12.
G. Ya. Gun, Theoretical Foundations of Metal Pressure Treatment [in Russian], Metallurgiya, Moscow (1980).
13.
V. A. Arutyunov, V. V. Bukhmirov, and S. A. Krupennikov, Mathematical Modeling of Thermal Performance of Industrial Furnaces, Textbook for Higher Education [in Russian], Metallurgiya, Moscow (1990).
14.
15.
P. Kaewtrakulpong and R. Bowden, “An improved adaptive background mixture model for real-time tracking with shadow detection,” Video Based Surv. Sys., Springer, 135–144 (2002).
16.
S. Gonzalez Rafael and E. Woods Richard, Digital Image Processing [transl. from English by L. I. Rubanov, P. A. Chochia], 3rd edition, revised and corrected, Tekhnosfera, Moscow (Moscow, Tipografiya Nauka RAN) (2012).
17.
S. Suzuki and K. Abe, “Topological structural analysis of digitized binary images by border following,” Comput. Vis. Graph. Image Process., 32–46 (1985).
18.
K. F. Riley, M. P. Hobson, and S. J. Bence, Mathematical Methods for Physics and Engineering, Cambridge University Press (1997).
Metadaten
Titel
Digitalization as the Most Important Tool for the Improvement of Metallurgical Technologies
verfasst von
A. V. Muntin
M. N. Shamshin
A. G. Ziniagin
O. S. Hlybov
A. S. Zonov
L. M. Kavitsian
S. D. Skachkov
Publikationsdatum
28.02.2023
Verlag
Springer US
Erschienen in
Metallurgist / Ausgabe 9-10/2023
Print ISSN: 0026-0894
Elektronische ISSN: 1573-8892
DOI
https://doi.org/10.1007/s11015-023-01418-2

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