Numerical characterization of simple three-dimensional chaotic micromixers

Lin, Yow−Jon

doi:10.1016/j.cej.2015.04.123

Cited by 55 publications

(21 citation statements)

References 22 publications

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“…The 3D serpentine micromixer and the square-wave micromixer with cubic grooves were studied due to their simple fabrication and efficient mixing performance. The flow and mixing characteristics were numerically investigated for a wide range of Reynolds numbers: 8-160 [12]. Chip production and experiments are significant, many scholars in the field of microfluidics carried out a large number of experiments and confirmed the accuracy of the numerical simulation.…”

Section: Introductionmentioning

confidence: 97%

“…Numerical simulation which is based on computational fluid dynamics has been proved to be reliable for both qualitative and quantitative analysis of flow structures, species concentration and mixing performance [3][4][5][6][7][8][9][10][11]. What's more, the 3D serpentine micromixer and the square-wave micromixer with cubic grooves have been designed and simulated, and the mixing quality and pressure drop of them were evaluate [12]. Afzal et al proposed an efficient mixing system for a microfluidic platform that uses periodic sinusoidal characteristics in space and time.…”

Section: Introductionmentioning

confidence: 99%

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Numerical and experimental investigation on micromixers with serpentine microchannels

Chen

Zeng

et al. 2016

International Journal of Heat and Mass Transfer

225

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Numerical and experimental investigation on micromixers with serpentine microchannels

Chen

Zeng

et al. 2016

International Journal of Heat and Mass Transfer

225

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“…The mixing index of each mixer exceeded 70%. However, for seven mixers, the mixing index exceeded 80% (the mixers in references [11,13,14,15,24,26], and for three mixers, it exceeded 90%, namely the GSMMT (grooves staggered in the upper and lower layers at the midstream positions) [15] ( α = 90%, when Re = 96), the 3D Tesla [13] ( α = 94%, when Re = 1), and the 3D HT used in the present study ( α simulation = 96.4%, α test = 91.75%, when Re = 10). However, compared to the 3D HT mixer, the GSMMT structure required a higher Re, while the 3D Tesla needed more mixing units to ensure mixing efficiency.…”

Section: Resultsmentioning

confidence: 99%

“…Special geometries, such as serpentine [11], twisted [12], Tesla [13], etc. [14,15], can also generate chaotic fluid. However, the design process relies extensively on experience, which results in uncertain mixing performance.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Micromixer Based on 3D Horseshoe Transformation

Zhang

Chuai

et al. 2019

Micromachines

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To improve the efficiency of mixing under laminar flow with a low Reynolds number (Re), a novel three-dimensional Horseshoe Transformation (3D HT) was proposed as the basis for the design of a micromixer. Compared with the classical HT, the Lyapunov exponent of the 3D HT, which was calculated based on a symbolic dynamic system, proved the chaotic enhancement. Based on the 3D HT, a micromixer with a mixing length of 12 mm containing six mixing units was obtained by sequentially applying “squeeze”, “stretch”, “twice fold”, “inverse transformation”, and “intersection” operations. Numerical simulation and Peclet Number (Pe) calculations indicated that when the squeeze amplitude 0 < α < 1/2, 0 < β < 1/2, the stretch amplitude γ > 4, and Re ≥ 1, the mass transfer in the mixer was dominated by convective diffusion induced by chaotic flow. When Re = 10, at the outlet of the mixing chamber, the simulated mixing index was 96.4%, which was far less than the value at Re = 0.1 (σ = 0.041). Microscope images of the mixing chamber and the curve trend of pH buffer solutions obtained from a mixing experiment were both consistent with the results of the simulation. When Re = 10, the average mixing index of the pH buffer solutions was 91.75%, which proved the excellent mixing efficiency of the mixer based on the 3D HT.

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“…But, in high Re of 160 and 200, the alternating rotation and continuous rotation were more effective than planar and 3D stretching in chaotic advection. 8 Passive micromixer optimizations usually consisted of topology, obstacle position, or layout surface structure of microchannel. Ansari and Kim 9 optimized the shape of a staggered herringbone groove micromixer by the application of radial basis neural network (RBNN) with three design variables.…”

Section: Introductionmentioning

confidence: 99%

Shape optimization of a split-and-recombine micromixer by the local energy dissipation rate

Ebnereza

Hassani

Seraj

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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A passive split-and-recombine micromixer was developed based on the concept of lamellar structure and advection mixing type for a serpentine structure. The flow patterns and mixing performance were analyzed using numerical simulation in Reynolds number range of 10≤ Reynolds ≤170. Two design variables, defining the shape of the split-and-recombine branch, were optimized by the local energy dissipation rate as the objective function. The reduction of computation time and the absence of numerical diffusion were the advantages of using the energy dissipation rate as the objective function. At each Reynolds number, 64 sample data was generated on the design space uniformly. Then a model was used based on the Radial basis neural network for the prediction of the objective function. The optimum values of the design variables within the constraint range were found on the response surface. The optimization study was performed at five Reynolds numbers of 10, 50, 90, 130, 170 and the mixing index was improved 0.156, 0.298, 0.417, 0.506, and 0.57, respectively. The effect of design variables on the objective function and the concentration pattern was presented and analyzed. Finally, the mixing characteristic of the split-and-recombine micromixer was studied in a wide range of Reynolds number and the flow was categorized to stratify and show the vortex regime based on the Reynolds number. The optimized split-and-recombine micromixer could be integrated by any system depending on the desired velocity and Reynolds number.

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Numerical characterization of simple three-dimensional chaotic micromixers

Cited by 55 publications

References 22 publications

Numerical and experimental investigation on micromixers with serpentine microchannels

Numerical and experimental investigation on micromixers with serpentine microchannels

Chaotic Micromixer Based on 3D Horseshoe Transformation

Shape optimization of a split-and-recombine micromixer by the local energy dissipation rate

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