Modelling of flows in micromixers

Rudyak, V. Ya.; Minakov, A. V.; Gavrilov, A. A.; Дектерев, А. А.

doi:10.1134/s0869864310040098

Cited by 24 publications

(11 citation statements)

References 18 publications

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“…Mixing in these micromixers has been extensively studied in the last decade. In this section, we follow papers [12,25]. Therefore, we consider the mixing of two identical liquids, red and blue, in the micromixer shown in Figure 1.…”

Section: Fluid Mixing At Low Reynolds Numbersmentioning

confidence: 99%

“…These algorithms have been tested on a wide range of problems of internal and external flow [12][13][14][18][19][20][21][22][23][24][25], including simulations of microflows [12,[22][23][24][25].…”

Section: Algorithm For Solving the Navier-stokes Equationsmentioning

confidence: 99%

“…In this case, the slip length can reach tens of micrometers. Systematic calculations of flow in Y-type micromixers were performed in [12] to study the slip effect. The slip length was varied from 10 nm to 20 μm; the corresponding data are presented in Table 1.…”

Section: Fluid Mixing At Low Reynolds Numbersmentioning

confidence: 99%

“…In this study, flows and heat transfer in microchannels were simulated using the SigmaFlow software, suitable for a wide class of problems in fluid dynamics, heat and mass transfer and combustion. This software is based on the finite-volume algorithm proposed in [12][13][14] to solve the Navier-Stokes equations. Below, this algorithm is briefly described considering only incompressible Newtonian fluid flows.…”

Section: Algorithm For Solving the Navier-stokes Equationsmentioning

confidence: 99%

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Modeling and Optimization of Y-Type Micromixers

Rudyak

Минаков

2014

Micromachines

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A trend in the global technological progress in the last few decades is the development of microsystem technology, microelectromechanical systems and corresponding technologies. Fluid mixing is an extremely important process widely used in various microfluidic devices (chemical microreactors, chemical and biological analyzers, drug delivery systems, etc.). To increase the mixing rate, it is necessary to use special devices: micromixers. This paper presents the results of a hydrodynamic simulation of Y-shaped micromixers. Flows are analyzed for both low and moderate Reynolds numbers. The passive and active mixers are considered. The dependence of the mixing efficiency on the Reynolds and Péclet numbers, as well as the possibility of using the hydrophobic and ultra-hydrophobic coatings is analyzed. Five different flow regimes were identified: (1) stationary vortex-free flow (Re < 5); (2) stationary symmetric vortex flow with two horseshoe vortices (5 < Re < 150); (3) stationary asymmetric vortex flow (150 < Re < 240); (4) non-stationary periodic flow (240 < Re < 400); and (5) stochastic flow (Re > 400). The maximum mixing efficiency was obtained for stationary asymmetric vortex flow.

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Section: Fluid Mixing At Low Reynolds Numbersmentioning

confidence: 99%

Section: Algorithm For Solving the Navier-stokes Equationsmentioning

confidence: 99%

Section: Fluid Mixing At Low Reynolds Numbersmentioning

confidence: 99%

Section: Algorithm For Solving the Navier-stokes Equationsmentioning

confidence: 99%

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Modeling and Optimization of Y-Type Micromixers

Rudyak

Минаков

2014

Micromachines

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“…. The problem was solved by the Galerkin method [18,19]. Neutral stability curves founded for cylindrical Poiseuille flow of nanofluid shown on Fig.…”

Section: Laminar-turbulent Transitionmentioning

confidence: 99%

The features of the modeling the nanofluid flows

Rudyak¹,

Минаков²

2018

AIP Conference Proceedings

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The features of the nanofluid flows modeling are analyzed. In the first part the thermophysical properties (viscosity and thermal conductivity) of nanofluids are discussed in detailed. It was shown that the transport coefficients of nanofluids depend not only on the volume concentration of the particles but also on their size and material. The viscosity increases with decreasing the particle size while the thermal conductivity increases with increasing the particle size. The heat transfer of nanofluid in cylindrical channel and laminar-turbulent transition in some flows are considered. The heat transfer coefficient is determined by the flow mode (laminar or turbulent) of the nanofluid. However it was shown that adding nanoparticles to the coolant significantly influences the heat transfer coefficient. The laminar-turbulent transition begins in all cases earlier (at smaller Reynolds numbers) than for base fluid. In conclusion the possibility of the use of traditional similarity criteria are discussed.

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