Contact angles in the pseudopotential lattice Boltzmann modeling of wetting

Qing Li, K. H. Luo, Q. J. Kang, and Q. Chen
Phys. Rev. E 90, 053301 – Published 3 November 2014

Abstract

In this paper we investigate the implementation of contact angles in the pseudopotential lattice Boltzmann modeling of wetting at a large density ratio ρL/ρV=500. The pseudopotential lattice Boltzmann model [X. Shan and H. Chen, Phys. Rev. E 49, 2941 (1994)] is a popular mesoscopic model for simulating multiphase flows and interfacial dynamics. In this model the contact angle is usually realized by a fluid-solid interaction. Two widely used fluid-solid interactions, the density-based interaction and the pseudopotential-based interaction, as well as a modified pseudopotential-based interaction formulated in the present paper are numerically investigated and compared in terms of the achievable contact angles, the maximum and the minimum densities, and the spurious currents. It is found that the pseudopotential-based interaction works well for simulating small static (liquid) contact angles θ<90, however, it is unable to reproduce static contact angles close to 180. Meanwhile, it is found that the proposed modified pseudopotential-based interaction performs better in light of the maximum and the minimum densities and is overall more suitable for simulating large contact angles θ>90 as compared with the two other types of fluid-solid interactions. Furthermore, the spurious currents are found to be enlarged when the fluid-solid interaction force is introduced. Increasing the kinematic viscosity ratio between the vapor and liquid phases is shown to be capable of reducing the spurious currents caused by the fluid-solid interactions.

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  • Received 20 January 2014
  • Revised 8 September 2014

DOI:https://doi.org/10.1103/PhysRevE.90.053301

©2014 American Physical Society

Authors & Affiliations

Qing Li1,3, K. H. Luo2,*, Q. J. Kang3, and Q. Chen4

  • 1School of Energy Science and Engineering, Central South University, Changsha 410083, China
  • 2Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom
  • 3Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
  • 4School of Energy and Power Engineering, Nanjing University of Science and Technology, Jiangsu 210094, China

  • *Corresponding author: K.Luo@ucl.uk

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Vol. 90, Iss. 5 — November 2014

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