Actual Problems in Machine Building 2021 Vol.8 N3-4

Актуальные проблемы в машиностроении. Том 8. № 3-4. 2021 Инновационные технологии в машиностроении ____________________________________________________________________ 67 наночастицы диоксида титана // Письма в Журнал технической физики. – 2021. – Т. 47, № 10. – С. 50–54. 10. Surface design methodology – challenge the steel / M. Bergman, B-G. Rosén, L. Eriksson, C. Anderberg // Journal of Physics: Conference Series. – 2014. – Vol. 483. – P. 012013. – DOI: 10.1088/1742-6596/483/1/012013. 11. Theoretical analysis of spacing parameters of anisotropic 3D surface roughness / J. Rudzitis, N. Bulaha, J. Lungevics et al. // Latvian Journal of Physics and Technical Sciences. – 2017. – Vol. 54. – P. 55–63. – DOI: 10.1515/lpts-2017-0013. ANALYSIS OF CORRELATION OF FUNCTIONAL PARAMETERS OF SURFACE TEXTURE Zakharov O.V. , D.Sc. (Engineering), Full Professor, e-mail: zov20@mail.ru Troshin A.A. , Post-graduate Student, e-mail: andreyguardian64@gmail.com Yuri Gagarin State Technical University of Saratov, 77 Politechnicheskaya St., Saratov, 410054, Russian Federation Abstract Scientifically grounded assignment of surface texture parameters is one of the important tasks of mechanical engineering technology. International standards use a large number of surface texture parameters. This makes it difficult to assign a rational number of parameters for specific operating conditions of products. In order to determine the minimum number of parameters, the linear correlation between 8 functional parameters is investigated. Four surfaces of products made of bearing steel (1.5% Cr) after grinding, circular grinding, superfinishing, and polishing were used as samples. It is found that in 16 cases out of 28 there is a significant correlation with the Pearson coefficient of more than 0.8. Therefore, it is sufficient to use no more than 5 functional parameters to describe the surface texture of products. Keywords surface texture, functional parameters, correlation. Funding The work was done on the state assignment of the Ministry of Science and Higher Education of the Russian Federation on grant “Development of a New Generation Digital Devices and Software with Intelligent Controls for Measuring the Areal Surface Texture for Metal and Composite of Aerospace Products”