Proceedings

WRT2025.31

WRT2025.33

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Зварювання та споріднені технології для відновлення України: Тези допов. конф. під ред. О.Т. Зельніченка. Київ, ТОВ «Видавничий Дім «Патон», 2025, с. 113-114

New capabilities of calculation methods for analyzing the weld metal structure orientation

Olha Shtofel^1,2, Viktor Holovko¹, Danilo Korolenko¹

¹ІЕЗ ім. Є.О. Патона НАН України. 03150, м. Київ, вул Казимира Малевича, 11.
²National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv

Almost all of the most important metal quality indicators are determined by its microstructure. Various metallographic studies are used to analyze the microstructure, which require a lot of time and human resources and depend heavily on the employee qualifications. The microstructure components study determines such quality indicators as the non-metallic inclusionstotal content, the inclusion distribution densityin the size range, the of grain boundaries (crystallites) total length, the dislocations densityat grain boundaries, the ferrite grain density distribution with a shape coefficient, and the structural grain orientation angledensity. This work aim is to analyze the structural components, such as grains (crystallites), misorientation angles distribution at the intergranular boundary. To determine the structural grains orientation angle, the EBSD (Electron back scatter diffraction) method is usually used. This method requires special software and cannot be implemented on optical and electron microscopes commonly used in domestic metallurgical laboratories. In addition, the EBSD method does not allow determining the grain misorientation angles at the intergranular boundary, which is an indicator that has a significant impact on the metalmechanical properties.
Keywords: EBSD, structure, metal, grain, orientation, misorientation, computer analysis, welded joints

Список літератури

1. Koko, A., Tong, V., Wilkinson, A.J., Marrow, T.J. (2023) Aniterative method for reference pattern selection in high-resolution electron back scatter diffraction (HR-EBSD). Ultramicroscopy, 248, 113705. DOI: https://doi.org/10.1016/j.ultramic.2023.113705
2. ISO. Electronic resource. https://cdn.standards.iteh.ai
3. Atiquzzaman, M. (1992) Multirezolution Hough transform — inefficient method of detecting patterns in images. IEEE Transact. on Pattern Analysis and Machine Intelligence, 14(11), 1090–1095.
4. Zhuravel, I.M., Maksymovych, V.M. (2018) Quantitative analysis of orientation and elongation of grains on metallographic images using Hough transformations. Scientific Bulletin of UNFU, 28(5), 135–138. DOI: https://doi.org/10.15421/40280528
5. Holovko, V., Stofel, O., Korolenko, D. (2025) Fractal analysis method of structural components orientation. International J. of Recent Innovations in Academic Research, 9(2), 130–138. DOI: https://doi.org/10.5281/zenodo.15266778
6. Holovko, V.V., Yermolenko, D.Yu., Stepanyuk, S.M., Zhukov, V.V., Kostin, V.А. (2020) Influence of introduction of refractory particles into welding pool on structure and properties of weld metal. The Paton Welding J., 8, 8–14. DOI: https://doi.org/10.37434/tpwj2020.08.01
7. Shtofel, O.O. , Holovko, V.V, Korolenko, D.Yu. (2025) Orientation of crystallites and grains on the weld surface depending on the image quality. Organization of scientific research in modern conditions 2025, usc30-00, Seattle, Washington, USA, pp. 3–8. DOI: https://doi.org/10.30888/2709-2267.2025-30-00-011

New capabilities of calculation methods for analyzing the weld metal structure orientation

Olha Shtofel^1,2, Viktor Holovko¹, Danilo Korolenko¹

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