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Open AccessArticle

Design Optimization for a Microfluidic Crossflow Filtration System Incorporating a Micromixer

1
School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul 08826, Korea
2
School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si, Gyeonggi-do 10540, Korea
*
Authors to whom correspondence should be addressed.
Micromachines 2019, 10(12), 836; https://doi.org/10.3390/mi10120836
Received: 30 October 2019 / Revised: 21 November 2019 / Accepted: 29 November 2019 / Published: 30 November 2019
(This article belongs to the Special Issue Optimization of Microfluidic Devices)
In this study, we report on a numerical study on design optimization for a microfluidic crossflow filtration system incorporated with the staggered herringbone micromixer (SHM). Computational fluid dynamics (CFD) and the Taguchi method were employed to find out an optimal set of design parameters, mitigating fouling in the filtration system. The flow and the mass transfer characteristics in a reference SHM model and a plain rectangular microchannel were numerically investigated in detail. Downwelling flows in the SHM model lead to backtransport of foulants from the permeable wall, which slows down the development of the concentration boundary layer in the filtration system. Four design parameters — the number of grooves, the groove depth, the interspace between two neighboring grooves, and the interspace between half mixing periods — were chosen to construct a set of numerical experiments using an orthogonal array from the Taguchi method. The Analysis of Variance (ANOVA) using the evaluated signal-to-noise (SN) ratios enabled us to identify the contribution of each design parameter on the performance. The proposed optimal SHM model indeed showed the lowest growth rate of the wall concentration compared to other SHM models.
Keywords: microfluidic filtration; fouling; micromixer; Taguchi method; optimization; numerical simulation microfluidic filtration; fouling; micromixer; Taguchi method; optimization; numerical simulation
MDPI and ACS Style

Jung, S.Y.; Park, J.E.; Kang, T.G.; Ahn, K.H. Design Optimization for a Microfluidic Crossflow Filtration System Incorporating a Micromixer. Micromachines 2019, 10, 836.

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