Abstract
This chapter illustrates a mesoscale, Diffuse Interface (DI), modeling of liquid-vapor systems close to solid surfaces. The model is built upon the Square Gradient Approximation (SGA) of the more general Density Functional Theory (DFT), to take into account the wetting properties of the solid surfaces and dynamic conditions. The formal derivation of the fluid-solid interaction potential is here reviewed, showing the connection with the Young-Laplace laws [40, 76] for sufficiently large bubbles/drops. The final section shows how the model can be numerically exploited to address the heterogeneous bubble nucleation process, including the description of thermal fluctuations into the model. Bubbles spontaneously appear during the simulation thanks to the fluid fluctuations, instead of being ad-hoc patched in the initial condition, allowing the statistical analysis of the nucleation process in terms of nucleation rate and spatial distribution. This opens the route for a multiscale simulation strategy, providing a continuum framework bridging the gap between the Molecular Dynamics (MD) simulations and the macroscopic Computational Fluid Dynamics (CFD).
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Acknowledgements
A large part of this work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No [836693]. The author also acknowledges the CINECA award under the Iscra project (project id: IscrB_HET-NUCL), and the PRACE-DECI16 (project id: WETONB), for the availability of high performance computing resources and support.
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Magaletti, F. (2022). A Mesoscale Modeling of Wetting: Theory and Numerical Simulations. In: Marengo, M., De Coninck, J. (eds) The Surface Wettability Effect on Phase Change. Springer, Cham. https://doi.org/10.1007/978-3-030-82992-6_9
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