Non-equilibrium condensation

The condensation process today requires more accurate, efficient and well-tested modeling approaches. In this article the numerical simulations of monatomic vapor condensation on its liquid phase have been carried out by applying the S-model kinetic equation, the Molecular Dynamics approach and the Moment Method. A good agreement is found between the results obtained by these three methods for monatomic gases. The Moment Method has great potential for efficient estimation of condensation fluxes by respecting the conservation of mass, momentum and energy through the Knudsen layer. This method has no analytical solution in the case of condensation, unlike the evaporation process, and the three conservation equations must be solved numerically (the Python tool is provided in Supplementary). Similar to evaporation, the nonlinear form of Schrage's analytic expression requires information about the third parameter, additionally to two needed in the case of condensation, while linear Schrage's formula overestimates the condensation rate for small condensation velocities and underestimates it for higher ones. We have tested our approaches by comparison with experimental data for the condensation of mercury for a wide range of Mach numbers, up to 0.85. The existence of an inverted temperature gradient has been showed numerically as well as the reason of its appearance and its evolution for different experimental conditions. The methodology for extracting the condensation coefficient based on the results of the Moment method is proposed. Obtained by this way condensation coefficients were found to be close to unity and decreasing with increasing vapor pressure and temperature. (c) 2022 Elsevier Ltd. All rights reserved.

Automated summary

This article conducts numerical simulations of monatomic vapor condensation on its liquid phase using three different methods. The results show good agreement among these methods for monatomic gases. The Moment Method is found to have great potential for efficient estimation of condensation fluxes while respecting the conservation of mass, momentum, and energy. The study also discusses the presence and effects of an inverted temperature gradient during the condensation process, and proposes a methodology for extracting the condensation coefficient based on the Moment Method results.