TECHNICS

Neural network modeling of laser processing parameters for diamonds in electronics technologies

A. N. Kupo^a, Yu. V. Nikityuk^a, E. B. Shershnev^a, V. A. Emelyanov<sup>b

a</sup> Francisk Skorina Gomel State University
^b JSC “INTEGRAL”, Minsk

Abstract: This study employs a combined approach of artificial neural networks (ANN) and an analytical moving heat source model to simulate the laser processing of diamonds. The training and testing datasets for the neural networks were generated using Mathcad, with calculations performed for 1,152 input parameter combinations, including 50 dedicated to ANN validation. Optimal ANN configurations were identified to achieve high-precision predictions of laser-induced temperature distributions in diamonds. The results provide a basis for optimizing technological parameters in diamond laser processing for electronic applications.

Keywords: laser cutting, diamond, artificial neural network.

UDC: 621.373.826

Received: 06.03.2025

Language: English

DOI: 10.54341/20778708_2025_2_63_62