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In this study, the authors proposed an approach for calculating the distribution of the temperature field with simulation at the stages of input and output of an electron beam on the basis of mathematical models of the thermal field, considering the thermophysical parameters of the product material and its geometric dimensions. The approach considered by the authors for calculating the thermal field at the stages of input and output of an electron beam, at the weld seam, based on the developed mathematical models, taking into account the geometric dimensions of the product and the thermophysical parameters of the product material, will reduce the cost of setting up the technological process when welding new material alloys and other thicknesses, and will also reduce the number of defects in the used technological modes in production. Thus, the purpose of the study is to develop a new modeling approach for developing a technological process with its further application for a more conscious choice of technological parameters when developing a new technological process for electron beam welding of other materials and alloys and obtaining a stable quality of a weld. #CSOC1120

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 dynamically 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.