Energy Distribution Modeling During the Electron Beam Welding Using Dynamically Changing Thermophysical Parameters of the Product

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Computer Science Online Conference, CSOC 2021

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-77442-4_3

Ключевые слова: control automation, electron beam, electron-beam welding, input-output of an electron beam, mathematical modelling, optimization of process parameters, technological parameters

Аннотация: The article is devoted to the problem of modeling the energy distribution in the welded joint zone of a product made of VT14 titanium alloy, obtained using the method of electron beam welding. To ensure high accuracy of modeling, it is proposed not to use static values of thermophysical parameters of a product, but their dynamicallПоказать полностьюy changed values depending on the current temperature at the point of calculation. Regression models are used to restore the dependence of thermophysical parameters. As a result of experimental studies, it was revealed that a linear regression equation is effective to restore the dependence of the specific heat capacity; for the coefficient of thermal expansion and the heat capacity parameter - the cubic regression equation; for density - quadratic regression. The constructed regression equations allow obtaining the smallest approximation error of the existing tabular values. To solve the problem of modeling the energy distribution, a calculation algorithm was developed for the MATLAB system, considering the dynamic change in thermophysical parameters during the simulation. The conducted experimental study showed that the application of the proposed approach allows one to obtain a more natural model of energy distribution. #CSOC1120. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Networks and Systems

Выпуск журнала: Vol. 230

Номера страниц: 47-58

ISSN журнала: 23673370

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Kurashkin S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
  • Tynchenko V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation, Marine Hydrophysical Institute, Russian Academy of Sciences, Sevastopol, Russian Federation)
  • Seregin Y. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
  • Murygin A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
  • Kukartsev V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Tynchenko V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)

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