Electrokinetic Transport in Microchannels with Random Roughness

Wang, Moran; Kang, Qinjun

doi:10.1021/ac802569n

Cited by 65 publications

(53 citation statements)

References 49 publications

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“…The issue of averaging over initial conditions in Eq. (5) can be handled elegantly and efficiently using the moment propagation method [12,15,16], which was recently extended to charged tracers [14,[17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Accounting for adsorption and desorption in lattice Boltzmann simulations

et al. 2013

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We report a Lattice-Boltzmann scheme that accounts for adsorption and desorption in the calculation of mesoscale dynamical properties of tracers in media of arbitrary complexity. Lattice Boltzmann simulations made it possible to solve numerically the coupled Navier-Stokes equations of fluid dynamics and Nernst-Planck equations of electrokinetics in complex, heterogeneous media. With the moment propagation scheme, it became possible to extract the effective diffusion and dispersion coefficients of tracers, or solutes, of any charge, e.g., in porous media. Nevertheless, the dynamical properties of tracers depend on the tracer-surface affinity, which is not purely electrostatic and also includes a species-specific contribution. In order to capture this important feature, we introduce specific adsorption and desorption processes in a lattice Boltzmann scheme through a modified moment propagation algorithm, in which tracers may adsorb and desorb from surfaces through kinetic reaction rates. The method is validated on exact results for pure diffusion and diffusion-advection in Poiseuille flows in a simple geometry. We finally illustrate the importance of taking such processes into account in the time-dependent diffusion coefficient in a more complex porous medium.

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Section: Introductionmentioning

confidence: 99%

Accounting for adsorption and desorption in lattice Boltzmann simulations

et al. 2013

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“…LBM is an efficient numerical scheme to simulate fluid especially with complicated boundary condition [16,17,[27][28][29][30][31][32] and multiphase interfaces [15,[33][34][35][36][37]. Recently, LBM has been used to simulate fluid-solid coupling system [19,20,[38][39][40][41] owing to its high efficiency compared with traditional methods.…”

Section: Lattice Boltzmann Methods (Lbm)mentioning

confidence: 99%

Bonding Strength Effects in Hydro-Mechanical Coupling Transport in Granular Porous Media by Pore-Scale Modeling

Chen¹,

Xie²,

Chen³

et al. 2016

Computation

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Abstract:The hydro-mechanical coupling transport process of sand production is numerically investigated with special attention paid to the bonding effect between sand grains. By coupling the lattice Boltzmann method (LBM) and the discrete element method (DEM), we are able to capture particles movements and fluid flows simultaneously. In order to account for the bonding effects on sand production, a contact bond model is introduced into the LBM-DEM framework. Our simulations first examine the experimental observation of "initial sand production is evoked by localized failure" and then show that the bonding or cement plays an important role in sand production. Lower bonding strength will lead to more sand production than higher bonding strength. It is also found that the influence of flow rate on sand production depends on the bonding strength in cemented granular media, and for low bonding strength sample, the higher the flow rate is, the more severe the erosion found in localized failure zone becomes.

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“…After the electrochemical boundary conditions are calculated, the governing equations (1-4) are solved numerically by a lattice Poisson-Boltzmann framework (Wang et al 2006;Wang and Chen 2007;Wang and Kang 2009) in a 2D straight nanochannel. The lattice Poisson-Boltzmann method can be regarded as a highly efficient solver for the strongly nonlinear equations governing the multiphysical electrokinetic transport (Wang et al 2006).…”

Section: Energy Conversion Efficiency Calculationsmentioning

confidence: 99%

Electrochemomechanical energy conversion efficiency in silica nanochannels

Wang

Kang

2009

Microfluid Nanofluid

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The electrochemomechanical energy conversion efficiency has been investigated using a new theoretical and numerical framework for modeling the multiphysiochemical transport in long silica nanochannels. Both the chemical dissociation effects on surface charge boundary conditions and the bulk concentration enrichment caused by double layer interactions are considered in the framework. The results show that the energy conversion efficiency decreases monotonically with the increasing ionic concentration at pH = 8. For a given ionic concentration, there is an optimal channel height for the highest efficiency. The efficiency does not increase with the pH value monotonically, and there is an optimal pH value for the maximum energy conversion efficiency as the other conditions are given. The energy conversion efficiency increases with the environmental temperature. The present results may guide the design and optimization of nanofluidic devices for energy conversion.

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Electrokinetic Transport in Microchannels with Random Roughness

Cited by 65 publications

References 49 publications

Accounting for adsorption and desorption in lattice Boltzmann simulations

Accounting for adsorption and desorption in lattice Boltzmann simulations

Bonding Strength Effects in Hydro-Mechanical Coupling Transport in Granular Porous Media by Pore-Scale Modeling

Electrochemomechanical energy conversion efficiency in silica nanochannels

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