Fig. 6.3 Work flow for the hit selection scheme. See methods for full description. |

For this work we use D2Q9 and periodic boundary conditions in the inflow and outflow plane and non-slip boundary (bounce-back) conditions on the walls and the porous matrix. Bounce-back conditions were used whenever the fluid hit a node of the porous matrix. Our porous media is represented by blocks that are projections in the plane of actual three dimensional geometries Stability is improved by considering the porous matrix as made out of these blocks and makes the code less noisy as well. To initialize the lattice, a constant body force (F) is used and acts during the simulations, which physically corresponds to a constant pressure gradient. In this work we focus only on externally applied pressure namely we deal with pressure-driven flows. [Pg.85]

Our experience in QSAR model development and validation has led us to establishing a complex strategy that is summarized in Fig. 6.2. It describes the predictive QSAR modeling work-flow, which focuses on delivering validated models and ultimately, computational hits confirmed by the experimental validation. We [Pg.116]

In their famous study Stanton and Pannett [7] evaluated the process equation of this problem/(Eu d/1, Re) = 0 by measurements. Fig. 1 shows the result of their work which impressively demonstrates the significance of the Reynolds number for pipe flow. The remark of B. Eck [8] hits the nail on the head [Pg.19]

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