Simulation of Thermophysical Processes during Deposition of a Semitransparent Coating on a Cooled Curvilinear Substrate

A model of heat transfer during the deposition of a semitransparent material on a cooled curvilinear substrate is constructed. The model takes into account all the main thermophysical processes: convective heat transfer and heat and mass transfer during deposition of particles on a substrate, as wel...

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Bibliographic Details
Published in:High temperature 2022-12, Vol.60 (6), p.848-853
Main Authors: Kuvyrkin, G. N., Savelyeva, I. Yu, Zhuravsky, A. V.
Format: Article
Language:English
Subjects:
Algorithms
Atoms and Molecules in Strong Fields
Classical and Continuum Physics
Coating
Convective heat transfer
Deposition
Heat and Mass Transfer and Physical Gasdynamics
Industrial Chemistry/Chemical Engineering
Laser Matter Interaction
Mass transfer
Materials Science
Mathematical models
Optical properties
Physical Chemistry
Physics
Physics and Astronomy
Shape effects
Substrates
Temperature dependence
Temperature distribution
Thermophysical models
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Summary:A model of heat transfer during the deposition of a semitransparent material on a cooled curvilinear substrate is constructed. The model takes into account all the main thermophysical processes: convective heat transfer and heat and mass transfer during deposition of particles on a substrate, as well as radiation heat transfer taking into account the optical properties of the applied semitransparent coating. For the developed mathematical model, a numerical solution is given, which makes it possible to obtain the temperature distribution over the thickness of the substrate and coating at any time. The results of a numerical calculation using the constructed computational algorithm are presented and analyzed. The effect of the substrate shape and deposition rate on the temperature distribution in the coating is revealed. The dependence of the temperature of the growing coating on its optical characteristics is shown. The simulation results are compared with known experimental data.
ISSN:0018-151X
1608-3156
DOI:10.1134/S0018151X22020122