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JOURNALS // Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences // Archive

Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 2024 Volume 28, Number 1, Pages 186–198 (Mi vsgtu2068)

Short Communication
Mathematical Modeling, Numerical Methods and Software Complexes

Analysis for two-component composite coatings in the production of electronic components by computer vision methods

M. V. Nenashev, O. S. Rakhmanin, V. V. Kiyashchenko

Samara State Technical University, Samara, 443100, Russian Federation

Abstract: A method for analyzing two-component composite coatings in the production of electronic components is presented, based on a system of mathematically grounded image processing algorithms. This method allows for the determination of the specific surface area, total material area, and contact boundaries, ensuring high accuracy and result stability. The obtained results can be successfully integrated into industrial processes for material quality assessment and production control. Within the scope of the study, an information-measurement image processing system has been developed, minimizing error accumulation at each stage and ensuring high precision in determining material characteristics. Examples of successful method application are presented, highlighting its effectiveness and prospects in various areas, including industrial production of electronic components. The obtained results serve as a basis for further research and refinement of methods for analyzing composite materials.

Keywords: composite coatings, image analysis, specific surface area, verification of the electronic components production

UDC: 519.248:004.93

MSC: 68U10

Received: December 15, 2023
Revised: January 18, 2024
Accepted: January 29, 2024
First online: March 18, 2024

DOI: 10.14498/vsgtu2068



© Steklov Math. Inst. of RAS, 2024