Abstract

The Lattice Boltzmann method (LBM) has been applied for the simulation of lid-driven flows inside cavities with internal two-dimensional circular obstacles of various diameters under Reynolds numbers ranging from 100 to 5000. With the LBM, a simplified square cross-sectional cavity was used and a single relaxation time model was employed to simulate complex fluid flow around the obstacles inside the cavity. In order to made better convergence, well-posed boundary conditions should be defined in the domain, such as no-slip conditions on the side and bottom solid-wall surfaces as well as the surface of obstacles and uniform horizontal velocity at the top of the cavity. This study focused on the flow inside a square cavity with internal obstacles with the objective of observing the effect of the Reynolds number and size of the internal obstacles on the flow characteristics and primary/secondary vortex formation. The current LBM has been successfully used to precisely simulate and visualize the primary and secondary vortices inside the cavity. In order to validate the results of this study, the results were compared with existing data. In the case of a cavity without any obstacles, as the Reynolds number increases, the primary vortices move toward the center of the cavity, and the secondary vortices at the bottom corners increase in size. In the case of the cavity with internal obstacles, as the Reynolds number increases, the secondary vortices close to the internal obstacle become smaller owing to the strong primary vortices. In contrast, depending on the sizes of the obstacles ( R / L = 1/16, 1/6, 1/4, and 2/5), secondary vortices are induced at each corner of the cavity and remain stationary, but the secondary vortices close to the top of the obstacle become larger as the size of the obstacle increases.

Highlights

  • In recent years, the Lattice Boltzmann method (LBM) (Guo et al [1]) has played an important role in resolving a variety of computational engineering problems, incompressible flows (Ghia et al [2], hereafter GHIA), porous-media flows (Hasert et al [3]), magneto-hydrodynamics (Chen et al [4]), and single-phase and multi-phase fluid flows (Yan et al [5])

  • The numerical calculation of a two-dimensional lid-driven cavity flow was performed to obtain the solutions for two cases: a cavity flow with and without an obstacle under a range of Reynolds numbers (Re), and inside the cavity obstacle sizes

  • In order to observe the flow inside a cavity, the aspect ratio of the cavity was set as a unit

Read more

Summary

Introduction

The Lattice Boltzmann method (LBM) (Guo et al [1]) has played an important role in resolving a variety of computational engineering problems, incompressible flows (Ghia et al [2], hereafter GHIA), porous-media flows (Hasert et al [3]), magneto-hydrodynamics (Chen et al [4]), and single-phase and multi-phase fluid flows (Yan et al [5]). LBM is a new approach in the area of computational fluid dynamics (CFD), in which the Reynolds-averaged Navier–Stokes equations (RANS) was originally used for simulating macroscopic quantities of flows (Ghia et al [2]). LBM comprises the use of the kinetic model with some parameters, and one of them, called the distribution function (Guo et al [1]), describes the detailed movement and relocation of the fluid particles. These particles are located at the lattice nodes through the continuous streaming and collision processes.

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.