APPLICATION OF LINEAR REGRESSION MODELS FOR FINDING THE HARDNESS OF HEAT-TREATED STEELS BASED ON STATIC MAGNETIC CHARACTERISTICS

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Abstract

This paper explores the application of linear regression models for estimating the hardness of heat-treated steels based on their static magnetic properties. The study uses pre-calculated datasets containing hysteresis loop parameters along with corresponding hardness values. Separate analyses were conducted for steels subjected to tempering and quenching to assess the influence of heat treatment on prediction accuracy. Several linear models were evaluated and compared using determination coefficients to identify the most effective correlations. The results confirm the feasibility of using regression-based approaches for rapid hardness estimation from magnetic parameters and highlight a way to choose the most informative features

About the authors

Andrey Aleksandrovich Besprozvanny

Institute of Metal Physics named after M.N. Mikheev Ural Branch of the Russian Academy of Sciences

Email: abes67@bk.ru
Russian Federation, 620108 Yekaterinburg, S. Kovalevskoy str., 18

Danila Grigorievich Ksenofontov

M.N. Mikheev Institute of Metal Physics of Ural Branch of Russian Academy of Sciences

Email: ksenofontov@imp.uran.ru

Младший научный сотрудник 

Russian Federation, 620108, Yekaterinburg, S. Kovalevskaya Street, 18

Olga Nikolaevna Vasilenko

M.N. Mikheev Institute of Metal Physics of Ural Branch of Russian Academy of Sciences

Author for correspondence.
Email: vasilenko@imp.uran.ru
Russian Federation, 620108 Yekaterinburg, S. Kovalevskaya Street, 18

References

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  7. IEC 60404–4:1995/AMD2-2008 Amendment 2 — Magnetic materials — Part 4: Methods of measurement of d.c. magnetic properties of magnetically soft materials.

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