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Assessment of pseudo-potential lattice Boltzmann method for multiphase flows with real fluid properties

ORAL

Abstract

The multirange pseudo-potential lattice Boltzmann model (PP-LBM) for multiphase flows was implemented along with various strategies, including the multi-relaxation time collision operator and the so-called ??-scheme, to diminish the parasitic currents and enhance numerical stability. The PP-LBM predictions show an excellent agreement with the theoretical coexistence curve, given by Maxwell’s equal-area rule, for both Carnahan-Starling (CS) and Peng-Robinson (PR) equations of state (EOS). Increasing the isotropic order of the interaction force has a stronger impact on reducing the magnitude of the spurious velocities, as compared to the implementation of more sophisticated collision operators. Due to a satisfactory representation of the vapor-liquid coexistence curve and acentric factor dependence, the PR EOS is chosen to determine real fluid properties such as equilibrium densities and surface tension for a number of compounds, including n-alkanes (carbon number up to 10), ammonia, and hydrogen. For such paraffinic hydrocarbons, the average surface tension error lies in a range of 2.3-6.2%. Although PP-LBM suffers to accurately predict experimental equilibrium density values, the error is inherent to the PR EOS, as PP-LBM predicts well those given by Maxwell’s equal-area rule.

Publication: J. Restrepo Cano; F. E. Hernandez Perez, I. Hong, Assessment of the high-order isotropic tensor in interaction force of pseudo-potential lattice Boltzmann model for multiphase flows, in AIAA SciTech Forum and Exposition, 2022.<br><br>J. Restrepo Cano; F. E. Hernandez Perez, I. Hong, Pseudo-potential lattice-Boltzmann model for studying real world fluids, in Asia-Pacific Conference on Combustion (ASPACC), 2021

Presenters

  • Juan G Restrepo-Cano

    King Abdullah University of Science & Technology (KAUST)

Authors

  • Juan G Restrepo-Cano

    King Abdullah University of Science & Technology (KAUST)

  • Francisco E Hernandez Perez

    King Abdullah University of Science & Technology (KAUST), King Abdullah Univ of Sci & Tech (KAUST)

  • Hong G Im

    King Abdullah Univ of Sci & Tech (KAUST), King Abdullah University of Science & Technology (KAUST)