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Parametric investigation on mixing in a micromixer with two-layer crossing channels

Overview of attention for article published in SpringerPlus, June 2016
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32 Mendeley
Title
Parametric investigation on mixing in a micromixer with two-layer crossing channels
Published in
SpringerPlus, June 2016
DOI 10.1186/s40064-016-2477-x
Pubmed ID
Authors

Shakhawat Hossain, Kwang-Yong Kim

Abstract

This work presents a parametric investigation on flow and mixing in a chaotic micromixer consisting of two-layer crossing channels proposed by Xia et al. (Lab Chip 5: 748-755, 2005). The flow and mixing performance were numerically analyzed using commercially available software ANSYS CFX-15.0, which solves the Navier-Stokes and mass conservation equations with a diffusion-convection model in a Reynolds number range from 0.2 to 40. A mixing index based on the variance of the mass fraction of the mixture was employed to evaluate the mixing performance of the micromixer. The flow structure in the channel was also investigated to identify the relationship with mixing performance. The mixing performance and pressure-drop were evaluated with two dimensionless geometric parameters, i.e., ratios of the sub-channel width to the main channel width and the channels depth to the main channel width. The results revealed that the mixing index at the exit of the micromixer increases with increase in the channel depth-to-width ratio, but decreases with increase in the sub-channel width to main channel width ratio. And, it was found that the mixing index could be increased up to 0.90 with variations of the geometric parameters at Re = 0.2, and the pressure drop was very sensitive to the geometric parameters.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Bachelor 4 13%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Engineering 7 22%
Chemical Engineering 6 19%
Chemistry 3 9%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 12 38%