Determination of the parameters of two-beam laser splitting of silicate glasses using regression and neural network models

  • Yuri V. Nikitjuk Francisk Skorina Gomel State University, 104 Saveckaja Street, Homieĺ 246019, Belarus
  • Anatoly N. Serdyukov Francisk Skorina Gomel State University, 104 Saveckaja Street, Homieĺ 246019, Belarus
  • Igor Y. Aushev University of Civil Protection, Ministry for Emergency Situations of the Republic of Belarus, 25 Mašynabudaŭnikoŭ Street, Minsk 220118, Belarus
DOI: https://doi.org/10.33581/2520-2243-2022-1-35-43

Abstract

The current work takes the results of the numerical experiment implemented in the Ansys finite element analysis program to create the neural network and regression models of two-beam laser splitting of silicate glasses. The regression models of two-beam laser glass cutting have been obtained in the DesignXplorer module of Ansys Workbench using a face-centered version of the central composite design. The processing speed, the parameters of laser beams, the glass plate thickness, and the distance between the laser radiation and the refrigerant affected zones were used as variable factors. The maximum temperatures and thermoelastic tensile stresses in the laser processing area were used as responses. The artificial neural networks have been constructed and trained using the TensorFlow package. The results of determining the maximum temperatures and thermoelastic stresses in the laser treatment area using the neural network and regression models have been compared.

Author Biographies

Yuri V. Nikitjuk, Francisk Skorina Gomel State University, 104 Saveckaja Street, Homieĺ 246019, Belarus

PhD (physics and mathematics), docent; associate professor at the department of radiophysics and electronics, faculty of physics and information technology

Anatoly N. Serdyukov, Francisk Skorina Gomel State University, 104 Saveckaja Street, Homieĺ 246019, Belarus

doctor of science (physics and mathematics), full professor; professor at the department of optics, faculty of physics and information technology

Igor Y. Aushev, University of Civil Protection, Ministry for Emergency Situations of the Republic of Belarus, 25 Mašynabudaŭnikoŭ Street, Minsk 220118, Belarus

PhD (engineering), docent; head of the faculty of researchers training

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Published
2022-02-03
Keywords: laser splitting, glass plate, neural network, Ansys
How to Cite
Nikitjuk, Y. V., Serdyukov, A. N., & Aushev, I. Y. (2022). Determination of the parameters of two-beam laser splitting of silicate glasses using regression and neural network models. Journal of the Belarusian State University. Physics, 1, 35-43. https://doi.org/10.33581/2520-2243-2022-1-35-43
Issue
No 1 (2022): Journal of the Belarusian State University. Physics
Section
Laser Physics

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