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Metal Science and Metal Physics
ArticleName Methodology for assessing the susceptibility of metal to cracking under various rolling conditions
DOI 10.17580/chm.2023.10.13
ArticleAuthor A. V. Danilenko, A. V. Muntin, A. A. Khlybov

Vyksa Steel Works, Vyksa, Russia

A. V. Danilenko, Сontrol Room Operator, e-mail:
A. V. Muntin, Cand. Eng., Dep. Director for Research Activities, e-mail:


Nizhny Novgorod State Technical University, Nizhny Novgorod, Russia
A. A. Khlybov, Dr. Eng., Prof., Head of the Dept. of Materials Science, Materials Technologies and Heat Treatment of Metals, e-mail:


Methods for studying the susceptibility of a metal to fracture by testing tensile samples are considered. The method is proposed for assessing the tendency of metal to open defects during rolling, which allows to estimate the probability of metal destruction in the edge zone. The defects under consideration include “overlap” and “longitudinal crack” (formed as a result of distortion of a narrow face), “dents” (formed during compression in the edger stand in the presence of a coarse mesh of fire) and “coarse oscillation marks” (formed during casting). These defects can lead to both longitudinal and transverse cracks in the finished rolled steel. The developed method makes it possible to estimate the probability of metal destruction in each rolling pass, taking into account temperature-strain conditions and the shape of defects. The application of the method is shown using the example of the presence of defects on a narrow face in the form of dents. The critical parameters of rolling and temperature-strain conditions under which metal destruction can occur have been determined. Using the method of mathematical modeling, the possibility of using the tensile method to assess destruction in the near-edge zone of the strip was analyzed.
The research was carried out under financial support of the grant of Russian Scientific Fund No. 19-19-00332-П "Development of the scientifically substantiated approaches as well as hardware and software for monitoring of damages in structural materials using artificial intellect to provide safe operation of technical objects in Arctic regions".

keywords Defect shape, cracking tendency, limiting deformation, reduction value, rolling start temperature, near-edge zone

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