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Improved forcing scheme in pseudopotential lattice Boltzmann methods for multiphase flow at arbitrarily high density
Daniel Lycett-Brown1, Kai H Luo1
1Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom.
This study introduces a new forcing scheme for the pseudopotential lattice Boltzmann method, enabling accurate simulation of multiphase flows with high density ratios and tunable surface tension. It allows for independent control over these crucial parameters.
Area of Science:
- Computational fluid dynamics
- Multiphase flow simulation
- Statistical mechanics
Background:
- The pseudopotential lattice Boltzmann method is a common tool for multiphase flow simulations.
- Existing methods struggle to accurately reproduce high density ratios and surface tension.
- These limitations hinder the simulation of realistic multiphase systems.
Purpose of the Study:
- To develop a novel forcing scheme for the pseudopotential lattice Boltzmann method.
- To enable accurate simulation of multiphase flows across a wide range of density ratios and surface tension values.
- To allow for independent control over density ratio, surface tension, and interface width.
Main Methods:
- Derivation of a higher-order analysis for a general forcing term.
- Construction of a new forcing scheme tailored for the pseudopotential method.
- Numerical simulations to validate the proposed scheme's performance.
Main Results:
- The proposed scheme accurately reproduces the full range of coexistence curves.
- Simulations of multiphase flow with arbitrarily high density ratios, independent of surface tension, are now possible.
- The interface width can be tuned for grid refinement and error reduction.
Conclusions:
- The developed forcing scheme overcomes limitations of existing pseudopotential lattice Boltzmann methods.
- It provides independent control over density ratio, surface tension, and interface width.
- This advancement facilitates more accurate and versatile multiphase flow simulations.
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