CFD-Based Optimization of a Diamond-Obstacles Inserted Micromixer with Boundary Protrusions

Tseng, Li-Yu; Yang, An-Shik; Lee, Chun-Ying; Hsieh, Chang-Yu

doi:10.1080/19942060.2011.11015365

Cited by 22 publications

(18 citation statements)

References 19 publications

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“…This problem involves two equal-area, unmixed, and liquid streams that enter one end of a straight, rectangular microchannel, and mix to some degree as they flow axially down channel ( Figure 3). Similar obstruction- based micromixers have been proposed and analyzed by several investigators (e.g., [23][24][25][26]). A repeating pattern of diamond-shaped features (Figures 3 and 4) is included within the channel from 1000 to 39,000 μm to enhance mixing.…”

Section: Micromixer Application Problemmentioning

confidence: 83%

“…A repeating pattern of diamond-shaped features (Figures 3 and 4) is included within the channel from 1000 to 39,000 μm to enhance mixing. Similar obstruction- based micromixers have been proposed and analyzed by several investigators (e.g., [23][24][25][26]). The two liquids are both assigned to the properties of pure water at 20°C, but they are tracked separately in the analysis.…”

Section: Micromixer Application Problemmentioning

confidence: 83%

“…Turning now to the structured Cartesian case, we similarly combine Eqs (5) and (20) (23) This expression estimates the mesh spacing required to reduce D false to some desired percentage of D for the SOU method on a structured Cartesian grid. Finding these relations was an objective of this study, and they serve as a useful starting point for constructing suitable meshes in other micromixing problems.…”

Section: General Applicability Of the Test Problem Resultsmentioning

confidence: 99%

“…A repeating pattern of diamond-shaped features (Figures 3 and 4) is included within the channel from 1000 to 39,000 μm to enhance mixing. For the inlet conditions described earlier, the degree of mixing achieved at the micromixer exit can be calculated using the following index [23]: The two liquids are both assigned to the properties of pure water at 20°C, but they are tracked separately in the analysis.…”

Section: Micromixer Application Problemmentioning

confidence: 99%

“…Calculations were run until the scaled residuals for velocity and pressure had dropped below 10 À7 and those for mass concentration had reached the limiting value for the mesh type, density, and method (typically at least 10 À3 ). CFD-ACE+ has been applied previously by the author and other investigators to simulate flow, mixing, and chemical reaction within microchannels [19][20][21][22][23].…”

Section: Governing Mathematical Equations and Numerical Approachmentioning

confidence: 99%

See 4 more Smart Citations

Managing false diffusion during second‐order upwind simulations of liquid micromixing

Bailey

2016

Numerical Methods in Fluids

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Summary Liquid mixing is an important component of many microfluidic concepts and devices, and computational fluid dynamics (CFD) is playing a key role in their development and optimization. Because liquid mass diffusivities can be quite small, CFD simulation of liquid micromixing can over predict the degree of mixing unless numerical (or false) diffusion is properly controlled. Unfortunately, the false diffusion behavior of higher‐order finite volume schemes, which are often used for such simulations, is not well understood, especially on unstructured meshes. To examine and quantify the amount of false diffusion associated with the often recommended and versatile second‐order upwind method, a series of numerical simulations was conducted using a standardized two‐dimensional test problem on both structured and unstructured meshes. This enabled quantification of an ‘effective’ false diffusion coefficient (Dfalse) for the method as a function of mesh spacing. Based on the results of these simulations, expressions were developed for estimating the spacing required to reduce Dfalse to some desired (low) level. These expressions, together with additional insights from the standardized test problem and findings from other researchers, were then incorporated into a procedure for managing false diffusion when simulating steady, liquid micromixing. To demonstrate its utility, the procedure was applied to simulate flow and mixing within a representative micromixer geometry using both unstructured (triangular) and structured meshes. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Micromixer Application Problemmentioning

confidence: 83%

Section: Micromixer Application Problemmentioning

confidence: 83%

Section: General Applicability Of the Test Problem Resultsmentioning

confidence: 99%

Section: Micromixer Application Problemmentioning

confidence: 99%

Section: Governing Mathematical Equations and Numerical Approachmentioning

confidence: 99%

See 3 more Smart Citations

Managing false diffusion during second‐order upwind simulations of liquid micromixing

Bailey

2016

Numerical Methods in Fluids

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Scaling up microreactors for kilogram‐scale synthesis of piperacillin: Experiments and computational fluid dynamics simulations

Xie

Chen

Huang³

et al. 2021

AIChE Journal

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In this study, two membrane dispersion microreactors in series are used to synthesize piperacillin with low impurity content in kilogram scale. By combining experiments and computational fluid dynamics simulations, the membrane size and cross-sectional area are scaled up from 2 mm × 0.7 mm and 2 mm × 1 mm to 6.5 mm × 2.5 mm and 6.5 mm × 3.5 mm, respectively, and the reaction time is extended from~10 tõ 60 min, which achieves that the synthesis scale of each batch is increased from 15 g to 1 kg. Subsequently, the effects of distance between ammonia feed and 4-ethyl-2,3-dioxo-1-piperazine carbonyl chloride feed, pH, circulation flow rate, and dispersed phase flow rate on solution concentration are discussed. The final piperacillin product with an average yield of~94.70%, a purity exceeding 99.7%, the impurity D content~0.077% and E content~0.045%, satisfies the requirements of pharmacopeia regarding antibiotic impurities.

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A novel passive micromixer with modified asymmetric lateral wall structures

Wang

Shi

Zhou

et al. 2018

Asia-Pacific J Chem Eng

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Homogeneous and rapid mixing in microfluidic devices have always been the premise requirement due to its integration with bioengineering and chemical experiments. In this work, a novel passive micromixer with modified asymmetric lateral wall structures is designed. The numerical simulation is carried out at the Reynolds number ranging from 0.1 to 100 for the novel microchannel and the ordinary "S"-shaped microchannel. The results indicate that, compared with the "S"-shaped micromixer, the novel structure exhibits superior mixing performance, which can be attributed to the increasing inertial effect and formation of secondary flow. The simulation results suggest that the novel micromixer developed here will achieve an efficient mixing performance.

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CFD-Based Optimization of a Diamond-Obstacles Inserted Micromixer with Boundary Protrusions

Cited by 22 publications

References 19 publications

Managing false diffusion during second‐order upwind simulations of liquid micromixing

Managing false diffusion during second‐order upwind simulations of liquid micromixing

Scaling up microreactors for kilogram‐scale synthesis of piperacillin: Experiments and computational fluid dynamics simulations

A novel passive micromixer with modified asymmetric lateral wall structures

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