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Lattice Boltzmann model for the simulation of multicomponent mixtures
S Arcidiacono1, I V Karlin, J Mantzaras
1Paul Scherrer Institute, Combustion Research, CH-5232 Villigen PSI, Switzerland.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2007
Summary
A new lattice Boltzmann model simulates realistic multicomponent mixtures, accurately predicting fluid dynamics and microflow behavior. This computational fluid dynamics approach validates against continuum models and kinetic theory predictions.
Area of Science:
- Computational fluid dynamics
- Multiphase flow modeling
- Kinetic theory
Background:
- Simulating multicomponent mixtures requires accurate models that capture complex fluid dynamics.
- Existing methods may have limitations in handling arbitrary species properties like Schmidt numbers and molecular masses.
- Bridging kinetic and continuum approaches is crucial for understanding fluid behavior across different scales.
Purpose of the Study:
- To develop and validate a lattice Boltzmann model for simulating realistic multicomponent fluid mixtures.
- To ensure the model's hydrodynamic limit recovers continuum mechanics equations.
- To demonstrate the model's applicability to various flow scenarios, including jets and microflows.
Main Methods:
- Construction of a lattice Boltzmann model tailored for multicomponent mixtures.
- Analysis in the hydrodynamic limit to verify recovery of continuum mechanics equations.
- Implementation and application to simulate opposed jet mixing and microflow Couette flow.
Main Results:
- The lattice Boltzmann model accurately simulates multicomponent mixtures with arbitrary Schmidt numbers and molecular masses.
- Simulations of opposed jet mixing show excellent agreement with continuum model results.
- Microflow simulations, including Couette flow, align well with kinetic theory predictions for slip coefficients.
Conclusions:
- The developed lattice Boltzmann model provides a robust tool for simulating realistic multicomponent fluid mixtures.
- The model successfully bridges kinetic and continuum mechanics, offering accurate predictions across different flow regimes.
- This work advances computational fluid dynamics capabilities for complex mixture simulations in engineering applications.
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