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Comparative analysis of modern methods of surface roughness control

https://doi.org/10.17586/0021-3454-2026-69-7-643-651

Abstract

An overview analysis of modern methods of surface roughness control is presented. The methods are systematized according to the criteria of reliability, efficiency and metrological reproducibility. Contradictions between the requirements for accuracy and efficiency of measurements are revealed. The main problems of applying contactless control methods are identified. The expediency of developing non-contact methods for monitoring surface roughness is substantiated. A direction for the development of surface roughness control methods based on a vision system using machine learning methods for processing measurement information is proposed.

About the Authors

A. D. Kozina
ITMO University
Russian Federation

Angelina D. Kozina        —      Post-Graduate Student; ITMO University, Faculty of Control Systems and Robotics.

St. Petersburg



Yu. S. Andreev
ITMO University
Russian Federation

Yuriy S. Andreev   —      PhD, Associate Professor; ITMO University, Faculty of Control Systems and Robotics, Associate Professor.

St. Petersburg



O. A. Evstafiev
ITMO University
Russian Federation

Oleg A. Evstafiev  —      PhD; ITMO University, Faculty of Control Systems and Robotics; Lecturer.

St. Petersburg



S. V. Shavetov
ITMO University
Russian Federation

Sergey V. Shavetov         —      PhD, Associate Professor; ITMO University, Faculty of Control Systems and Robotics; Associate Professor.

St. Petersburg



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Review

For citations:


Kozina A.D., Andreev Yu.S., Evstafiev O.A., Shavetov S.V. Comparative analysis of modern methods of surface roughness control. Journal of Instrument Engineering. 2026;69(7):643-651. (In Russ.) https://doi.org/10.17586/0021-3454-2026-69-7-643-651

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ISSN 0021-3454 (Print)
ISSN 2500-0381 (Online)