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.
Keywords
About the Authors
A. D. KozinaRussian Federation
Angelina D. Kozina — Post-Graduate Student; ITMO University, Faculty of Control Systems and Robotics.
St. Petersburg
Yu. S. Andreev
Russian Federation
Yuriy S. Andreev — PhD, Associate Professor; ITMO University, Faculty of Control Systems and Robotics, Associate Professor.
St. Petersburg
O. A. Evstafiev
Russian Federation
Oleg A. Evstafiev — PhD; ITMO University, Faculty of Control Systems and Robotics; Lecturer.
St. Petersburg
S. V. Shavetov
Russian Federation
Sergey V. Shavetov — PhD, Associate Professor; ITMO University, Faculty of Control Systems and Robotics; Associate Professor.
St. Petersburg
References
1. Nazarov Yu.F., Shkilko A.M., Tikhonenko V.V., Kompaneets I.V. Phуsical Surface Engineering, 2007, no. 3–4(5), pp. 207–216. (in Russ.)
2. Makeev A.V., Airapetyan V.S. Bulletin of SSUGiT (Siberian State University of Geosystems and Technologies), 2014, no. 4(28), pp. 80–86. (in Russ.)
3. Gurzhiy I.I., Gulyaev V.A. Scientific journal, 2018, no. 28(214), pp. 28–35. (in Russ.)
4. Makeev A.V. Interexpo GEO-Siberia, 2016, no. 1(5), pp. 147–151. (in Russ.)
5. Konyashov V.V. Journal of Instrument Engineering, 2025, no. 8(68), pp. 725–737, DOI: 10.17586/0021-3454-2025-68-8-725-737. (in Russ.)
6. Neeraj R.H., Veeresha R.K. Intern. Journal of Research Publication and Reviews, 2022, no. 8(3), pp. 1104–1107.
7. Evstafyev O.A., Shavetov S.V. Tekhniko-tekhnologicheskiye problemy servisa, 2023, no. 4(66), pp. 3–9. (in Russ.)
8. Luo Q., Fang X., Su J., Zhou J., Zhou B., Yang C., Liu L., Gui W., Tian L. IEEE Trans. Instrum. Meas., 2020, no. 12(69), pp. 9329–9349, DOI: 10.1109/TIM.2020.3030167.
9. Zhang Y., Liu H. Measurement, 2021, vol. 175, art. no. 109141, DOI: 10.1016/j.measurement.2021.109141.
10. Mishchenko M.A., Kozyreva R.A., Litvinova V.A. Izbrannyye doklady 64-y Universitetskoy nauchno-tekhnicheskoy konferentsii studentov i molodykh uchenykh (Selected Proceedings of the 64th University Scientific and Technical Conference of Students and Young Scientists), Tomsk, 2018, рр. 393–395. (in Russ.)
11. Volobuyeva Ya.I., Shitikov A.N. Kachestvo v proizvodstvennykh i sotsial'no-ekonomicheskikh sistemakh (Quality in Production and Socio-Economic Systems), Proc. of the 4th Intern. Scientific and Technical Conf., Kursk, 2016, pp. 106–109. (in Russ.)
12. Applications guide surface finish, http://gaugeshop.com/images/roughness/applications_guide_surface_finish.pdf.
13. Poroshin V.V., Bogomolov D.Yu., Kostyuk A.G. STIN, 2010, no. 3, pp. 28–30. (in Russ.)
14. Introduction to Surface Roughness Measurement, https://sernia.ru/upload/pdf_files/Introduction%20to%20surface%20roughness%20measurement.pdf.
15. Duparré A., Ferré-Borrull J., Gliech S., Notni G., Steinert J., Bennett J.M. Appl. Opt., 2002, no. 1(41), pp. 154–171, DOI: 10.1364/AO.41.000154.
16. Zhang J.Z., Chen J.C., Kirby E.D. J. Intell. Manuf., 2007, vol. 18, рр. 301–311.
17. Coker S.A., Shin Y.C. Intern. Journal of Machine Tools and Manufacture, 1996, no. 3(36), pp. 411–422, DOI: 10.1016/0890-6955(95)00057-7.
18. Adamov A.A., Baranov M.S. et al. J. Phys.: Conf. Ser., 2018, vol. 1135, рр. 012049, DOI: 10.1088/17426596/1135/1/012049.
19. Costa M.F.M. Optical Engineering, 1996, no. 9(35), pp. 2743–2747.
20. Dong Z., Sun X., Liu W., Yang H. Sensors, 2018, no. 10(18), pp. 3527, DOI: 10.3390/s18103527.
21. Konyashov V.V. Sergeev A.S., Fedorov A.V., Kolganov O.A. Opticheskiye metody issledovaniya potokov (Optical Methods for Studying Flows), Proc. of the XVII Intern. Scientific and Technical Conf., Moscow, 2023, рр. 196–201. (in Russ.)
22. Ignat'ev P.S., Kol'ner L.S., Indukaev K.V., Teleshevskii V.I. Measurement Techniques, 2015, no. 7(58), pp. 772–776.
23. Surface Roughness Measurement Using Light Sectioning Method and Computer Vision Techniques, https://www.researchgate.net/publication/233902650_Surface_Roughness_Measurement_Using_Light_Sectioning_Method_and_Computer_Vision_TechniquesDeptM.
24. Yakovlev A.V., Milovzorov A.N. Metody i ustroystva peredachi i obrabotki informatsii (Methods and Devices for Transmitting and Processing Information), Interuniversity collection of scientific papers, St. Petersburg, 2001, рр. 202–204. (in Russ.)
25. Krayukhin A.S. Modern high technologies, 2013, no. 8, pp. 24, https://top-technologies.ru/ru/article/view?id=32400. (in Russ.)
26. Bavykin O.B., Krivozubova E.V. Inzhenernyy vestnik Dona, 2019, no. 2. (in Russ.)
27. ISO 16610-41:2015. Geometrical product specifications (GPS). Filtration. Morphological profile filters.
28. Ružbarský J. Applied Sciences, 2023, no. 8(13), pp. 5155, DOI: 10.3390/app13085155.
29. Ziyatdinov R.R., Shabaev A.A., Valiakhmetov R.R. Fundamental research, 2017, no. 12-2, pp. 287–291. (in Russ.)
30. Zhang C., Li Y., Zhang Y. et al. Precis. Eng., 2019, vol. 57, рр. 1–12, DOI: 10.1016/j.precisioneng.2019.03.011.
31. Liu Z., Wang Y., He Y. et al. Appl. Sci., 2021, no. 3, рр. 1124, DOI: 10.3390/app11031124.
32. Ružbarský J. Materials, 2023, no. 11(16), pp. 4109, DOI: 10.3390/ma16114109.
33. Gulyaev V.A., Loginov N.Y. Intern. Scientific Journal Theoretical & Applied Science, 2017, no. (49), DOI: 10.15863/TAS.2017.05.49.
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
JATS XML














