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Processes 2019, 7(3), 121;

Computational Evaluation of Mixing Performance in 3-D Swirl-Generating Passive Micromixers

School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Department of Civil Engineering, Bartin University, 74100 Bartin, Turkey
Author to whom correspondence should be addressed.
Received: 31 January 2019 / Revised: 15 February 2019 / Accepted: 20 February 2019 / Published: 27 February 2019
(This article belongs to the Special Issue Water Quality Modelling)
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Computational Fluid Dynamics (CFD) tools are used to investigate fluid flow and scalar mixing in micromixers where low molecular diffusivities yield advection dominant transport. In these applications, achieving a numerical solution is challenging. Numerical procedures used to overcome these difficulties may cause misevaluation of the mixing process. Evaluation of the mixing performance of these devices without appropriate analysis of the contribution of numerical diffusion yields over estimation of mixing performance. In this study, two- and four-inlet swirl-generating micromixers are examined for different mesh density, flow and molecular diffusivity scenarios. It is shown that mesh densities need to be high enough to reveal numerical diffusion errors in scalar transport simulations. Two-inlet micromixer design was found to produce higher numerical diffusion. In both micromixer configurations, when cell Peclet numbers were around 50 and 100 for Reynolds numbers 240 and 120, the numerical diffusion effects were tolerable. However, when large cell Peclet number scenarios were tested, it was found that the molecular diffusivity of the fluid is completely masked by false diffusion errors. View Full-Text
Keywords: micromixer; finite volume method; CFD; swirl; numerical diffusion; false diffusion micromixer; finite volume method; CFD; swirl; numerical diffusion; false diffusion

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Okuducu, M.B.; Aral, M.M. Computational Evaluation of Mixing Performance in 3-D Swirl-Generating Passive Micromixers. Processes 2019, 7, 121.

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