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- W2747366916 abstract "In this study, the effect of spatial distribution of the porous matrix surface heterogeneity on nanoparticle deposition is numerically explored using lattice Boltzmann simulation methods and tracking of individual particles with Lagrangian algorithms. Packed beds with four different patterns of surface charge heterogeneity, on which favorable surfaces for particle attachment are located at different locations, are generated. The heterogeneity is binary, so that the porous surface can either accommodate nanoparticle attachment or not. It is found that the heterogeneity pattern has a stronger effect when the rate constant for particle attachment is high, when the particle size is small, and/or when the fraction of the surface area that is favorable to attachment is about 0.5. At fixed conditions, the heterogeneity pattern with randomly and uniformly distributed active surface area is the most favorite for particle attachment, compared to those where the active surface areas are banded perpendicularly to the flow direction. There exists a critical ratio of the Damkohler number to the Peclet number, beyond which the heterogeneity pattern effect becomes more visible." @default.
- W2747366916 created "2017-08-31" @default.
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- W2747366916 date "2017-08-01" @default.
- W2747366916 modified "2023-09-24" @default.
- W2747366916 title "Effect of spatial distribution of porous matrix surface charge heterogeneity on nanoparticle attachment in a packed bed" @default.
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- W2747366916 doi "https://doi.org/10.1063/1.4999344" @default.
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