Abstract
Melting water-ice systems develop complex spatio-temporal interface dynamics and a non-trivial temperature field. In this contribution, we present computational aspects of a recently conducted validation study that aims at investigating the role of natural convection for cryo-interface dynamics of water-ice. We will present an established fixed grid model known as the enthalpy porosity method (Brent et al., Numer Heat Transf A 13(3):297–318, 1988; Kumar and Krishna, Energy Procedia 109:314–321, 2017). It is based on introducing a phase field and employs mixture theory. The resulting PDEs are solved using a finite volume discretization. The second part is devoted to experiments that have been conducted for model validation. The evolving water-ice interface is tracked based on optical images that show both the water and the ice phase. To segment the phases, we use a binary Mumford Shah method, which yields a piece-wise constant approximation of the imaging data. Its jump set is the reconstruction of the measured phase interface. Our combined simulation and segmentation effort finally enables us to compare the modeled and measured phase interfaces continuously. We conclude with a discussion of our findings.
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Acknowledgements
The project was funded in part by the Excellence Initiative of the German Federal and State Governments. It is supported by the Federal Ministry for Economic Affairs and Energy, Germany, on the basis of a decision by the German Bundestag (FKZ: 50 NA 1502). It is part of the Enceladus Explorer initiative of the DLR Space Administration.
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Schüller, K., Berkels, B., Kowalski, J. (2018). Integrated Modeling and Validation for Phase Change with Natural Convection. In: Schäfer, M., Behr, M., Mehl, M., Wohlmuth, B. (eds) Recent Advances in Computational Engineering. ICCE 2017. Lecture Notes in Computational Science and Engineering, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-93891-2_8
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