Алгоритм определения угла между направлениями шлифовки поверхности
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Algorithm for determining the angle between the directions of surface grinding

idShmidt A.G. idAltukhov A.A. idFeshchenko V.S. idShepelev V.A.

UDC 004.932
DOI: 10.26102/2310-6018/2023.42.3.020

  • Abstract
  • List of references
  • About authors

The paper discusses the development of an algorithm for analyzing profilogram images obtained using the ZYGO ZeGage Pro HR optical profilometer in order to determine some parameters of material surface treatment: grinding directions and the angle between them. The analysis of such data makes it possible to make a connection between the applied material processing technology and the quality of the resulting surface. The need to automate this process is a relevant objective. Solving it will reduce the time taken to analyze a large volume of test samples and accelerate their quality control. This paper presents the process of the developed algorithm operation based on the application of methods for detecting geometric objects in images. The algorithm consists of several stages, including pre-processing of input data, methods for detecting straight lines in the image, extracting surface grinding directions, and determining the angle between them. In addition, as part of the study, a modification of the algorithm based on image frequency analysis was proposed. This modification allows eliminating the shortcomings of the main implementation described in the paper determined by the specifics of the input data; it also enables the increase in the efficiency of the program. Also, conclusions are given on the results of accuracy tests for the developed algorithm and its modification obtained using different samples of the surfaces under study.

1. May P.W. Diamond thin films: a 21st-century material. Phil. Trans. R. Soc. Lond. A. 2000;358:473–495.

2. Mc'Scimin H.I. Elastic moduli of diamond. Phys. Review. 1957;5(1):116–120.

3. Nelson A. The compressive strength of perfect diamond. Appl. Phys. 1979;4:2763–2764.

4. Field I.E. Strength testing of diamond. Ind. Diamond Rev. 1974;7:255–259.

5. Wodniak I. CVD diamond detectors for fast alpha particles escaping from the tokamak D-T plasma. Nucleonika. 2011;56:143−147.

6. Klepikov I.V., Koliadin A.V., Vasilev E.A. Analysis of type IIb synthetic diamond using FTIR spectrometry. IOP Conf. Series: Materials Science and Engineering. 2017;286:012035. DOI: 10.1088/1757-899X/286/1/012035.

7. Nikitina M.A., Chernukha I.M., Lisitsyn A.B. About a “digital twin” of a food product. Theory and practice of meat processing. 2020;1:4–8. DOI: 10.21323/2414-438X-2020-5-1-4-8.

8. 8. Zongyan W. Digital twin technology. IntechOpen. 2020;2–21. DOI: 10.5772/intechopen.80974.

9. Grieves M. Origins of the digital twin concept. Florida Institute of Technology: Melbourne, FL, USA. 2016;8. DOI: 10.13140/RG.2.2.26367.61609.

10. Gonsalez R., Wood R. Digital image processing. Moscow, Technosphera; 2005. 1072 p. (In Russ.).

Shmidt Aleksandr Gennadevich

Email: shmidt@mirea.ru

ORCID |


MIREA – Russian Technological University

Moscow, the Russian Federation

Altukhov Andrey Aleksandrovich
Candidate of Technical Sciences
Email: altuhov_a@mirea.ru

ORCID |

MIREA – Russian Technological University

Moscow, the Russian Federation

Feshchenko Valeriy Sergeevich
Doctor of Technical Sciences, Assistant Professor
Email: feshchenko@mail.ru

ORCID |

MIREA – Russian Technological University

Moscow, the Russian Federation

Shepelev Valeriy Andreevich
Candidate of Technical Sciences

ORCID |

MIREA – Russian Technological University

Moscow, the Russian Federation

Keywords: image analysis, finding lines in an image, calculating angles, diamond plate, surface polishing

For citation: Shmidt A.G. Altukhov A.A. Feshchenko V.S. Shepelev V.A. Algorithm for determining the angle between the directions of surface grinding. Modeling, Optimization and Information Technology. 2023;11(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1416 DOI: 10.26102/2310-6018/2023.42.3.020 (In Russ).

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Full text in PDF

Received 10.07.2023

Revised 05.09.2023

Accepted 14.09.2023

Published 15.09.2023