2012
DOI: 10.1016/j.ces.2011.09.036
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Numerical and experimental investigations of mixing in T-shaped and cross-shaped micromixers

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Cited by 86 publications
(57 citation statements)
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“…The value of the current study is in good agreement with most numerical values in the literature (e.g. [5,7,8,10,28]) and is within 4% of the mesh-independent value obtained using Richardson's extrapolation technique in [12]. …”
Section: Comparison To Literature Resultssupporting
confidence: 82%
“…The value of the current study is in good agreement with most numerical values in the literature (e.g. [5,7,8,10,28]) and is within 4% of the mesh-independent value obtained using Richardson's extrapolation technique in [12]. …”
Section: Comparison To Literature Resultssupporting
confidence: 82%
“…Due to the great potential applications of microfluidic systems in intensification of liquid‐liquid mixing performance, the synthesis of organic materials by microfluidic techniques has been increased in biomedical and pharmaceutical engineering domains . Specifically, small dimensions of microfluidic devices confine the formation of vortices by restriction of the flow, so the solution in micro‐flow systems generates a laminar flow pattern . Significant efforts have been made to develop means to accelerate the diffusion rate in microfluidic geometries.…”
Section: Introductionmentioning
confidence: 99%
“…ANSYS Fluent provides comprehensive tools for fluid flow modeling and has been employed in many microfluidics studies (Mouheb et al, 2012;Wong et al, 2004;Bothe et al, 2008;Yang et al, 2015). The mixing process of two different fluids, namely pure water (bulk liquid) and a flow tracer, was simulated in the Fluent software by solving three-dimensional equations of conservation of mass and momentum and convection-diffusion.…”
Section: Numerical Analysismentioning
confidence: 99%
“…Each geometry had more than 500 sampling nodes distributed uniformly on the outlet plane in order to ensure high accuracy. Discretization of the convection term in the governing equations introduces numerical diffusion error which causes overestimation of the mixing quality in the simulation results (Mouheb et al, 2012). In order to minimize the numerical error, higher-order discretization schemes were employed in the calculations (Hardt and Schönfeld, 2003).…”
Section: Numerical Analysismentioning
confidence: 99%