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Development of metallurgy and machine-building in Novorossiya and Crimea
Название Research and modeling of the finish grinding process of hardened steels and hard alloys
DOI 10.17580/chm.2026.04.07
Автор E. A. Levchenko, D. V. Moiseev, D. V. Petrov, A. V. Kharitonov
Информация об авторе

Sevastopol State University, Sevastopol, Russia
E. A. Levchenko, Cand. Eng., Associate Prof., Dept. of Automation and Technology of Mechanical Engineering, e-mail: ealev1978@mail.ru
D. V. Moiseev, Dr. Eng., Director of the Innovation and Educational Center “AI Center of SevSU”, Dean of the Faculty of Information Technology, Head of the Dept. of Information Technologies and Systems, e-mail: dvmoiseev@mail.sevsu.ru
D. V. Petrov, Postgraduate Student, Dept. of Automation and Technology of Mechanical Engineering, e-mail: Ip.dmitry.petrov@gmail.com
A. V. Kharitonov, Postgraduate Student, Dept. of Automation and Technology of Mechanical Engineering, e-mail: Alekcandr555a@mail.ru

Реферат

The article presents a research results of the surface quality of parts made of hardened steels and hard alloys after finish grinding. It includes analysis and the development of regression models for predicting roughness parameters depending on the machining conditions. Experimental data, mathematical modeling, and statistical analysis are presented to assess the surface quality after machining. The study was conducted using cutting theory, experimental design, and statistical analysis of experimental results. The influence of cutting conditions on the effective power and the main component of the cutting force during machining of external cylindrical surfaces of parts was experimentally determined. These experimental studies, examining the mechanism of surface formation, support the hypothesis that it is necessary to study the quality indicators of machining parts based on the dynamic interaction between the grinding wheel and the workpiece, whose profile and relative position change over time.

Ключевые слова Grinding wheel, modeling of the finish grinding process, regression model, surface quality, statistical analysis
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