A pressure-based diffuse-interface method for two-phase flows with mass transfer

ORAL

Abstract

We present a pressure-based method for the numerical solution of a four-equation two-phase compressible flow model with mass transfer. The model assumes kinetic, mechanical and thermal equilibrium and it is composed of the equations for the volume fraction, temperature, velocity and pressure. It includes the effects of viscosity, surface tension, thermal conductivity and gravity. Mass transfer is modeled through a Gibbs free energy relaxation term. A key feature of the proposed pressure-based methodology for the model system solution is the use of high performance and scalable solvers for the solution of the Helmholtz equation for the pressure, which drastically reduces the computational cost. Several numerical tests are presented to demonstrate the effectiveness of the proposed method, including tests involving flows with large density ratios, flows at low Mach number, and a challenging three-dimensional nucleate boiling simulation.

Publication: A. D. Demou, N. Scapin, M. Pelanti and L. Brandt, A pressure-based diffuse interface method for low-Mach multiphase flows with mass transfer, submitted (April 2021).

Presenters

  • Marica Pelanti

    ENSTA Paris

Authors

  • Andreas Demou

    KTH,Department of Engineering Mechanics, Sweden, KTH Royal Institute of Technology

  • Nicolo' Scapin

    KTH, Department of Engineering Mechanics, Sweden, KTH Royal Institute of Technology, KTH, Department of Engineering Mechanics (Sweden)

  • Marica Pelanti

    ENSTA Paris

  • Luca Brandt

    KTH, Department of Engineering Mechanics, Sweden and Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, KTH Royal Institute of Technology and Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, KTH, Department of Engineering Mechanics (Sweden), NTNU, Department of Energy and Process Engineering (Norway), KTH Royal Institute of Technology