An analytical model for mixing based on time-interleaved sequential segmentation
Due to constrains caused by the laminar flow in microscale, effective and fast mixing is important for many microfluidic applications. From the scaling law, decreasing the mixing path can shorten the mixing time and enhance the mixing quality. One of the techniques for reducing mixing path is time-i...
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sg-ntu-dr.10356-938842023-03-04T17:16:36Z An analytical model for mixing based on time-interleaved sequential segmentation Nguyen, Nam-Trung Huang, Xiaoyang School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Due to constrains caused by the laminar flow in microscale, effective and fast mixing is important for many microfluidic applications. From the scaling law, decreasing the mixing path can shorten the mixing time and enhance the mixing quality. One of the techniques for reducing mixing path is time-interleaved sequential segmentation. This technique divides solvent and solute into segments in axial direction. The mixing path can be controlled by the switching frequency and the mean velocity of the flow. In this brief communication, we present a simple time-dependent one-dimensional analytical model for time-interleaved sequential segmentation. The model considers an arbitrary mixing ratio between solute and solvent as well as the axial Taylor–Aris dispersion. The analytical solution indicates that the Peclet number is the key parameter for this mixing concept. Accepted version 2012-05-10T03:21:26Z 2019-12-06T18:47:06Z 2012-05-10T03:21:26Z 2019-12-06T18:47:06Z 2005 2005 Journal Article Nguyen, N. T., & Huang, X. Y. (2005). An analytical model for mixing based on time-interleaved sequential segmentation. Microfluidics and Nanofluidics, 1(4), 373-375. https://hdl.handle.net/10356/93884 http://hdl.handle.net/10220/7835 10.1007/s10404-005-0039-6 90883 en Microfluidics and nanofluidics © 2005 Springer-Verlag. This is the author created version of a work that has been peer reviewed and accepted for publication by Microfluidics and Nanofluidics, Springer-Verlag. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s10404-005-0039-6]. 8 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering Nguyen, Nam-Trung Huang, Xiaoyang An analytical model for mixing based on time-interleaved sequential segmentation |
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Due to constrains caused by the laminar flow in microscale, effective and fast mixing is important for many microfluidic applications. From the scaling law, decreasing the mixing path can shorten the mixing time and enhance the mixing quality. One of the techniques for reducing mixing path is time-interleaved sequential segmentation. This technique divides solvent and solute into segments in axial direction. The mixing path can be controlled by the switching frequency and the mean velocity of the flow. In this brief communication, we present a simple time-dependent one-dimensional analytical model for time-interleaved sequential segmentation. The model considers an arbitrary mixing ratio between solute and solvent as well as the axial Taylor–Aris dispersion. The analytical solution indicates that the Peclet number is the key parameter for this mixing concept. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Nguyen, Nam-Trung Huang, Xiaoyang |
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Article |
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Nguyen, Nam-Trung Huang, Xiaoyang |
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Nguyen, Nam-Trung |
title |
An analytical model for mixing based on time-interleaved sequential segmentation |
title_short |
An analytical model for mixing based on time-interleaved sequential segmentation |
title_full |
An analytical model for mixing based on time-interleaved sequential segmentation |
title_fullStr |
An analytical model for mixing based on time-interleaved sequential segmentation |
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An analytical model for mixing based on time-interleaved sequential segmentation |
title_sort |
analytical model for mixing based on time-interleaved sequential segmentation |
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2012 |
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https://hdl.handle.net/10356/93884 http://hdl.handle.net/10220/7835 |
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