Geodesic
Development of software tools for modeling and optimization of laser cutting parameters of brittle non-metallic materials
Problemy fiziki, matematiki i tehniki, no. 3 (2024), pp. 18-22

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This paper describes the development of tools for modeling and searching for optimal parameters for the process of laser cutting of brittle non-metallic materials using laser chopping. Software tools are designed for finite element modeling, neural network modeling and searching for optimal parameters using a genetic algorithm and are implemented in Python. The use of the developed software is shown using the example of searching for optimal parameters for cutting a quartz plate.
Keywords: neural network modeling, finite element modeling, FEniCS laser cutting, genetic algorithm, parameter optimization. 
@article{PFMT_2024_3_a2,
     author = {Yu. V. Nikitjuk and V. A. Prohorenko and O. M. Demidenko and V. S. Smorodin and A. V. Voruev},
     title = {Development of software tools for modeling and optimization of laser cutting parameters of brittle non-metallic materials},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {18--22},
     publisher = {mathdoc},
     number = {3},
     year = {2024},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2024_3_a2/}
}
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Yu. V. Nikitjuk; V. A. Prohorenko; O. M. Demidenko; V. S. Smorodin; A. V. Voruev. Development of software tools for modeling and optimization of laser cutting parameters of brittle non-metallic materials. Problemy fiziki, matematiki i tehniki, no. 3 (2024), pp. 18-22. http://geodesic.mathdoc.fr/item/PFMT_2024_3_a2/