![]() ![]() Obviously, the use of the two architectures, CPU and GPU, to compute the same problem involves more important challenges with respect to the homogeneous counterpart. ![]() It is proposed two approaches, homogeneous GPU and heterogeneous CPU+GPU, on each of the refinement methods. The numerical formulation is presented in detail. ![]() In this work, the author focuses on studying two methods, one based on Multi-Domain and one based on Irregular meshing, to deal with mesh refinement over LBM simulations. The use of mesh refinement in CFD is an efficient and widely used methodology to minimize the computational cost by solving those regions of high geometrical complexity with a finer grid. Furthermore, as the distance between baffles decreases, the performance is more enhanced. The results indicate that regardless of the baffle shape, the mixing efficiency is enhanced by using baffles. The mixing performance is evaluated by the mixing efficiency and the performance index. Micromixers with three different shaped baffles were used to investigate the effect of baffles and the merit of the new IB–LBM. The proposed method is well validated through its application to simulate chaotic micromixers with obstructions. Eliminating sophisticated mesh generation processes, simplicity and effectiveness while preserving numerical accuracy, are the major advantages of the presented method. Velocity correction is transformed into a forcing term and added to the momentum equation, and a mass source/sink is introduced to convection–diffusion equation representing concentration correction. In the framework of IB–LBM, Dirichlet condition (no-slip) is imposed by using velocity correction and the concentration correction is used for Neumann (mass flux) condition. In this paper, a new immersed boundary-lattice Boltzmann method (IB–LBM) including velocity and mass flux correction is developed. ![]()
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