Practical application of correlation-regression analysis results for predicting the quality of coiled rebar products
https://doi.org/10.21122/1683-6065-2025-1-73-80
Abstract
The study examines temperature variations along the length of rebar coils in relation to air supply at control points during the air-cooling stage of the two-stage Stelmor cooling line. The influence of air-cooling mode variations on the mechanical properties of Ø8 mm and Ø10 mm A500C-grade rebar with a periodic profile of type 2f, in accordance with GOST 34028–2016, has been determined. Using the least squares method within the framework of correlation-regression analysis, linear multiple regression models were developed to calculate the temperature at the center and edges of coils on the roller conveyor (across the width of the conveyor in areas of coil accumulation and in individual coil sections). Additionally, regression dependencies were established to predict the mechanical properties of rebar based on the steel’s chemical composition and technological cooling parameters. These models can be used to optimize the air-cooling process for coiled rebar products to achieve the required microstructure and mechanical properties
About the Authors
S. A. Savchenko
BSW – Management Company of Holding “BMC”
Belarus
Belarus
Zhlobin, Gomel Region, 37, Promyshlennaya str.
A. B. Sychkov
Nosov Magnitogorsk State Technical University
Russian Federation
Russian Federation
Magnitogorsk, Chelyabinsk Region, 38, Lenina Ave.
References
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Review
For citations:
Savchenko S.A., Sychkov A.B. Practical application of correlation-regression analysis results for predicting the quality of coiled rebar products. Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY). 2025;(1):73-80. (In Russ.) https://doi.org/10.21122/1683-6065-2025-1-73-80
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