Numerical modeling of surface reaction kinetics in electrokinetically actuated microfluidic devices

Sadeghi, Arman; Amini, Younes; Saidi, Mohammad Hassan; Chakraborty, Suman

doi:10.1016/j.aca.2014.05.023

Cited by 73 publications

(27 citation statements)

References 34 publications

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“…Microtechnology is an effective way to realize miniaturization and to develop a safe, energy‐efficient, and environment‐friendly process in chemical industry . Therefore, in the last 10 years, several microequipment, including minichannel wall reactors, tube‐in‐tube reactors, and microfluidics systems, have been applied in gas–liquid, liquid–liquid, and gas–liquid–solid processes. Recently, the micropacked bed reactors (μPBRs) has attracted more attention and it origins from miniaturization of trickle bed reactors (TBRs), which are the typical microequipment for three‐phase reactions .…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamics and mass transfer of gas–liquid flow in micropacked bed reactors with metal foam packing

Sang

Cheng

et al. 2019

AIChE Journal

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Hydrodynamics and mass transfer of gas-liquid flow such as pressure drop, liquid holdup, and gas-liquid mass-transfer coefficient in micropacked bed reactors (μPBRs) with metal foam packing are investigated with an automated platform. Parametric studies are conducted varying gas and liquid superficial velocities, pore diameters of foam packing, and liquid physical properties. Experimental results show that μPBRs with foam packing have comparative mass transfer rate and 10 times lower pressure drop compared to the microparticles. The values of mass-transfer coefficient for three types of foam packing in μPBRs are 1-2 orders of magnitude larger than those in large-scale trickle bed reactors with foam packing. Furthermore, empirical correlations of pressure drop, liquid holdup, and gas-liquid mass-transfer coefficient in μPBRs with foam packing are proposed and the predicted values are found to be in good agreement with the experimental values.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamics and mass transfer of gas–liquid flow in micropacked bed reactors with metal foam packing

Sang

Cheng

et al. 2019

AIChE Journal

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“…Numerical investigation of the fluid flow in the packings is thoroughly considered in recent studies [23][24][25][26][27][28][29][30]. Computational fluid dynamics (CFD) is an effective scheme to decrease the cost of the experiments in numerous applications [31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Characterization of High‐Capacity Structured Packing

et al. 2020

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The novel wire gauze structured packing, PACK‐860, was characterized by means of numerical methods. The main features of PACK‐860 such as height equivalent to a theoretical plate (HETP) and dry/wet pressure drop were evaluated. The flow structure in this packing was described by numerical simulation. To estimate the amount of HETP and dry/wet pressure drop, three‐dimensional computational fluid dynamics (3D CFD) modeling with the Eulerian‐Eulerian multiphase approach was applied. The average relative errors between the results obtained from CFD simulation and experimental findings for mass transfer efficiency and wet and dry pressure drop were assessed. Numerical observations were found to agree well with the empirical results, proving the reliability of CFD simulations for modeling separation processes.

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“…The speed of this wave can be obtained analytically when the zeta potential distribution is uniform. For a uniform zeta potential, there will be a unidirectional plug-flow inside the channel,so * ( * , * ) = 0 , * ( * , * ) = 1 (28) Adopting the above velocity components, Eq. 14reduces…”

Section: Resultsmentioning

confidence: 99%

“…The same analysis, but this time for a mixed electroosmotic/pressure-driven flow, was done by Subramaniam and Chakraborty [27]. In two recent studies, Sadeghi et al conducted numerical modelings of analyte transport and their hybridization with the binding sitesin electrokineticallyactuated microfluidic biosensorsconsidering both Newtonian [28]and shear-rate dependent [29]carrierfluids.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of surface adsorption-desorption rates in microarrays invoking surface charge heterogeneity

Abdollahzadeh

Saidi

Sadeghi

2017

Sensors and Actuators B: Chemical

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This investigation is devoted to the influences of non-uniform wall characteristics on the surface adsorptiondesorption rates in an electrokinetic microarray.Utilizing already explored electroosmotic and electrophoretic velocities, the species transport equations are solved by a finite-volume-based numerical approach.Uniform, sinusoidal, and pulse-like distributions of the zeta potential are considered in the analysis. The developed model is validated by comparing the results with those of two analytical solutions that are derived for limiting conditions. The results reveal that, in some cases,the surface chargeheterogeneity can reducethe saturation time by more than 60%.The efficacy of the surface chargeheterogeneity is limited to high Damkohler numbers and its effects are negligible for small values of this parameter. Whereas the impact of non-uniform surface characteristics is amplified by increasing the Peclet number, it is reduced by increasing either of the channel length to radius ratio or the electrophoretic mobility of the analytes.

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Numerical modeling of surface reaction kinetics in electrokinetically actuated microfluidic devices

Cited by 73 publications

References 34 publications

Hydrodynamics and mass transfer of gas–liquid flow in micropacked bed reactors with metal foam packing

Hydrodynamics and mass transfer of gas–liquid flow in micropacked bed reactors with metal foam packing

Computational Fluid Dynamics Characterization of High‐Capacity Structured Packing

Enhancement of surface adsorption-desorption rates in microarrays invoking surface charge heterogeneity

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