Using bremsstrahlung X-Ray for positioning of the filler wire during electron beam surfacing

Varushkin, S. V.; Трушников, Д. Н.; Koleva, Elena; Shamov, D

doi:10.1088/1742-6596/1089/1/012009

Cited by 2 publications

(1 citation statement)

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“…The process of metal transfer under the influence of concentrated heating sources is one of the most difficult objects to study. This is due to high temperature gradients and high metal flow rates in the molten pool region, as well as the presence of high-intensity optical radiation and metal vapors, which complicate video shooting or the use of thermal imaging technology [1,2]. In addition, experimental research methods do not allow obtaining information on the distribution of flow velocities, temperature, and pressure in the volume of a molten pool.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model for Metal Transfer Study in Additive Manufacturing with Electron Beam Oscillation

et al. 2021

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A computer model has been developed to investigate the processes of heat and mass transfer under the influence of concentrated energy sources on materials with specified thermophysical characteristics, including temperature-dependent ones. The model is based on the application of the volume of fluid (VOF) method and finite-difference approximation of the Navier–Stokes differential equations formulated for a viscous incompressible medium. The “predictor-corrector” method has been used for the coordinated determination of the pressure field which corresponds to the continuity condition and the velocity field. The modeling technique of the free liquid surface and boundary conditions has been described. The method of calculating surface tension forces and vapor recoil pressure has been presented. The algorithm structure is given, the individual modules of which are currently implemented in the Microsoft Visual Studio environment. The model can be applied for studying the metal transfer during the deposition processes, including the processes with electron beam spatial oscillation. The model was validated by comparing the results of computational experiments and images obtained by a high-speed camera.

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Section: Introductionmentioning

confidence: 99%