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  A multigrid solver for the coupled pressure-temperature equations in an all-Mach solver with VoF

Saade, Y., Lohse, D., & Fuster, D. (2023). A multigrid solver for the coupled pressure-temperature equations in an all-Mach solver with VoF. Journal of Computational Physics, 476: 111865. doi:10.1016/j.jcp.2022.111865.

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 Creators:
Saade, Youssef, Author
Lohse, Detlef1, Author           
Fuster, Daniel, Author
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1Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063285              

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 Abstract: We present a generalisation of the all-Mach solver of Fuster and Popinet (2018) [1] to account for heat diffusion between two different compressible phases. By solving a two-way coupled system of equations for pressure and temperature, the current code is shown to increase the robustness and accuracy of the solver with respect to classical explicit discretization schemes. Different test cases are proposed to validate the implementation of the thermal effects: an Epstein-Plesset like problem for temperature is shown to compare well with a spectral method solution. The code also reproduces free small amplitude oscillations of a spherical bubble where analytical solutions capturing the transition between isothermal and adiabatic regimes are available. We show results of a single sonoluminescent bubble (SBSL) in standing waves, where the result of the DNS is compared with that of other methods in the literature. Moreover, the Rayleigh collapse problem is studied in order to evaluate the importance of thermal effects on the peak pressures reached during the collapse of spherical bubbles. Finally, the collapse of a bubble near a rigid boundary is studied reporting the change of heat flux as a function of the stand-off distance.

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Language(s): eng - English
 Dates: 2022-12-282023-03-01
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jcp.2022.111865
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Project name : UCOM
Grant ID : 813766
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Computational Physics
Source Genre: Journal
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Pages: 22 Volume / Issue: 476 Sequence Number: 111865 Start / End Page: - Identifier: ISSN: 00219991