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Thesis for degree: Licentiate of Engineering

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lies to correctly set up the interface conditions and also to manage the conversion from the<br />

lattice to the macroscopic variables or vice versa [28].<br />

The positioning <strong>of</strong> the variables <strong>for</strong> the LB model and FV model is presented in Figure 2.5.<br />

The FV model uses a staggered grid where the scheme is explicit <strong>for</strong> the velocity and implicit<br />

<strong>for</strong> the pressure [25]. The choice <strong>of</strong> a staggered grid <strong>for</strong> the FV model is to prevent possible<br />

pressure oscillation. The LB variables are evaluated at the corner positions <strong>for</strong> all lattice<br />

variables at the same positions. For the FVM, the velocity variable is evaluated at the<br />

interface <strong>of</strong> the grid cells between two corner positions and the pressure is evaluated at the<br />

center <strong>of</strong> the grid cell [26]. Note that only a 2D domain is discussed here.<br />

Figure 2.5: The indexes and grid positions <strong>for</strong> the LB and FV models variables.<br />

This leads to the question <strong>of</strong> how to couple the two models at their interacting boundary. The<br />

set <strong>of</strong> boundary nodes <strong>for</strong> the two models are connected by an overlap layer <strong>of</strong> nodes so linear<br />

interpolation can be per<strong>for</strong>med to find the effective boundary condition [26]. This overlap is<br />

illustrated in Figure 2.6. Note that the overlap <strong>for</strong> the interface is about one and a half grid<br />

cell to capture the physical processes at the boundary. This can be chosen arbitrarily<br />

depending on the specific need <strong>of</strong> detailed in<strong>for</strong>mation and high resolution, and the access to<br />

computational power.<br />

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