Effects of pore size distribution and coordination number on filtration coefficients for straining-dominant deep bed filtration from percolation theory with 3D networks. (16th January 2018) - Ding, Binbin
Highlights: A straining-dominant deep bed filtration model based 3D network is proposed. The effects of simulation parameters on the deep bed filtration are illuminated. The simulated results based on 3D networks agree with the experimental results. Abstract: A power law relation between the filtration coefficients of straining and flux through small pores has been reported. The effluent concentrations of the colloidal particles and the exponents derived from the experiment are inconsistent with those obtained from 2D network models simulation in their researches. In this study, a straining-dominant deep bed filtration (DBF) model is proposed based on 3D network simulation. The effects of simulation parameters such as lattice type, lattice coordination number z, pore size distribution (PSD), and particle capture scheme on DBF were investigated. Consistent with the power law formula and the normalized effluent concentrations ( C e/ C 0 ), simulation results indicate that the exponents increase with increasing coordination number z. The change in the PSD parameters alters the flux and weight of path type linked to node, thereby influencing the numerical simulation of staining-dominate DBF on 3D networks. The effects of capture scheme and coordination number on the simulated normalized effluent concentration could be due to variations in the total capture probability for different lattices with the same PSD. The results were obtained from simulation on hexagonal close packing (HCP) and 2D triangular lattices under the optimal conditions. The simulated C e/ C 0 and exponents of the HCP lattice are similar to those of 2D triangular lattice and consistent with the experimental data.