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Improved partially saturated method for the lattice Boltzmann pseudopotential multicomponent flows.

Gang Wang1, Umberto D'Ortona1, Pierrette Guichardon1

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Summary

This study enhances the partially saturated method (PSM) for lattice Boltzmann (LB) pseudopotential models, improving wetting simulations on complex walls. The new approach ensures mass conservation and smoother droplet movement, crucial for microfluidic and porous media flows.

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Area of Science:

  • Computational fluid dynamics
  • Multiphase flow modeling

Background:

  • The lattice Boltzmann (LB) pseudopotential model simplifies complex flow simulations.
  • Existing methods struggle with accurate wetting and contact angle modeling on curved boundaries, often causing mass leakage or inaccurate results due to staircase approximations.

Purpose of the Study:

  • To extend the partially saturated method (PSM) for curved walls to the LB pseudopotential multicomponent model.
  • To accurately model contact angles and improve wetting simulations on complex geometries.
  • To address limitations of the bounce-back (BB) method and standard curved boundary conditions in LB models.

Main Methods:

  • Adaptation of the partially saturated method (PSM) for LB pseudopotential multicomponent models.
  • Implementation of wetting boundary conditions using mesoscopic interaction forces to mimic adhesive forces.
  • Computation of pseudopotential interaction forces with eighth-order isotropy to prevent component condensation.
  • Modification of the bounce-back (BB) method to handle curved walls more effectively.

Main Results:

  • The improved PSM scheme demonstrates mass conservation.
  • Nearly identical static contact angles were achieved on both flat and curved walls.
  • Smoother movement of wetting droplets on curved and inclined walls was observed compared to the standard BB method.

Conclusions:

  • The enhanced PSM is a mass-conservative and accurate method for simulating wetting phenomena on curved boundaries within LB pseudopotential models.
  • This improved method overcomes the limitations of staircase approximations and mass leakage associated with traditional approaches.
  • The developed technique shows significant promise for applications in modeling fluid flow in porous media and microfluidic devices.