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Published on: December 4, 2017
Evaluation of a lattice Boltzmann method in a complex nanoflow
1Department of Mechanical Engineering, Osaka Prefecture University, Sakai, Osaka, Japan. suga@me.osakafu-u.ac.jp
This study evaluates a lattice Boltzmann method (LBM) for simulating complex fluid flows. The regularization procedure is crucial for accurate predictions, especially in nanochannels, avoiding unphysical oscillations.
Area of Science:
- Computational fluid dynamics
- Fluid mechanics
- Nanoscale transport phenomena
Background:
- Simulating complex fluid flows across continuum to transitional regimes requires efficient methods.
- The lattice Boltzmann method (LBM) offers a promising approach for such simulations.
- Previous work established an LBM with specific boundary conditions and relaxation times.
Purpose of the Study:
- To assess the performance of a specific lattice Boltzmann method (LBM).
- To evaluate the regularization procedure and third-order truncation of a D2Q21 LBM model.
- To validate the LBM against molecular dynamics simulations for complex flow cases.
Main Methods:
- Utilized a lattice Boltzmann method (LBM) with diffuse scattering wall boundary conditions.
- Employed a regularization procedure and an effective relaxation time dependent on the Knudsen number.
- Performed simulations for Poiseuille flows, Couette flows, and flow around a square cylinder in a nanochannel.
- Conducted molecular dynamics simulations for reference data of the square cylinder flow.
Main Results:
- The third-order truncated D2Q21 LBM accurately predicted flow profiles and slip velocities for Poiseuille and Couette flows.
- The second-order truncated D2Q9 LBM adequately predicted velocity profiles around a square cylinder.
- The absence of the regularization process led to unphysical momentum oscillations in flow field predictions.
Conclusions:
- The regularization procedure is essential for accurate LBM simulations, particularly around geometric features.
- Both second and third-order truncated LBM models show utility depending on the flow complexity.
- The evaluated LBM provides a cost-effective strategy for simulating complex flows in various regimes.
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