Publication Date:
2018-10-12
Description:
A straining-dominant filtration model based on a 2D square network is proposed. In this model, the colloid particle can be captured in a node only. The effects of network parameters (node size distribution parameters μ n and σ n and pore throat size distribution parameters μ n and σ b ), particle concentration of influent (C 0 ), and particle size distribution parameters (μ r and σ r ) on straining-dominant deep bed filtration simulation are investigated. Four parameters (C 0 , μ n , μ b , and μ r ) significantly affect the simulated pressure drop and the normalized particle concentrations of effluent (Ce/C 0 ). The increase in parameters μ n and μ b decreases pressure drop and increases Ce/C 0 , whereas the increase in parameters μ r and C 0 increases pressure drop and decreases Ce/C 0. With the experimental c...
Print ISSN:
1755-1307
Electronic ISSN:
1755-1315
Topics:
Geography
,
Geosciences
,
Physics
Permalink