A method is proposed for measuring the parameters of surface microrelief of machine parts by optical-electronic and computer means. The method is based on calculating the parameters of a two-dimensional auto-correlation function constructed from a binary image of the microrelief under study. It is established that the most informative characteristic of the studied microrelief of surfaces of precision parts, which significantly differ from each other with a given roughness recognition probability, is the average amplitude of the variable component of the autocorrelation function. The results of determining the parameters of the studied surface microrelief using quasi-optimal correlation algorithms are presented.
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References
D. I. Petreshin, A. G. Suslov, and O. N. Fedonin, “Controlling the quality parameters of the surface layer of machine parts under conditions of uncertainty,” Progr. Tekhnol. Sist. Mashinostr., No. 4 (55), 57–61 (2016).
A. G. Suslov, “Automated provision of the complex parameter of quality of the surface layer Cx during mechanical processing,” Naukoem. Tekhnol. Mashinostr., No. 2, 34–39 (2011).
D. I. Petreshin, “Application of a laser optical sensor for measuring altitude parameters of surface roughness of machine parts in a self-learning adaptive technological system,” Kontrol. Diagn., No. 11, 53–57 (2009).
A. V. Makeev, “On optical methods for monitoring surface roughness,” Interexpo GEO-Siberia: Proc. XII Int. Sci. Congr. (2016), Vol. 5, No. 1, pp. 147–151.
A. D. Abramov, and A. I. Nikonov, “Analysis and correlation method for eliminating errors in the optical-electronic determination of microrelief parameters,” Vest. Komp. Inform. Tekhnol., No. 1, 3–9 (2016).
A. I. Naumov, E. K. Kichigin, I. A. Safonov, and A. M. Mokh, “On-board complex of high-precision navigation with a correlation-extremal navigation system and a digital terrain map,” Vest. Voronezh. Gos. Tekhn. Univ., 5. No. 6-1, 51–55 (2013).
A. N. Pluzhnikov and N. N. Potapov, “Correlation-extremal processing of navigation data: digital algorithms and hardware implementation,” Datch. Sistemy, No. 11 (174), 22–27 (2013).
V. Baklitsky, Correlation-Extreme Navigation and Guidance Systems, Knizhnyi Klub, Tver (2009).
V. A. Vdovin, A. V. Muravyov, and A. A. Pevzner, “Method of adaptive binarization of a raster image,” Yarosl. Pedag. Vest., III, No. 4, 65–69 (2012).
GOST 8.009–84, GSI. Normalized Metrological Characteristics of Measuring Instruments.
E. S. Wentzel, Theory of Probability: Textbook, KNORUS, Moscow (2010), 11th ed.
A. D. Abramov, A. I . Nikonov, and N. V. Nosov, Patent 2413179 RF, “Method of controlling the surface roughness of a product,” Izobret. Polezn. Modeli, No. 6 (2010).
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Translated from Izmeritel’naya Tekhnika, No. 11, pp. 36–39, November, 2018
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Abramov, A.D., Nikonov, A.I. Measurement of Microrelief Parameters Based on the Correlation Method of Image Processing of the Surfaces Under Study. Meas Tech 61, 1086–1090 (2019). https://doi.org/10.1007/s11018-019-01553-w
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DOI: https://doi.org/10.1007/s11018-019-01553-w