Determination of the Micromixing Scale in a Microdevice by Numerical Simulation and Experiments

Lin, Xiyan; Zhang, Jisong; Wang, Kai; Luo, Guangsheng

doi:10.1002/ceat.201500651

Cited by 9 publications

(8 citation statements)

References 42 publications

(37 reference statements)

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“…the minimum scale of segregation and concentration gradient, is determined by meso-and macromixing [24]. The minimum scale of segregation is the outcome of mesomixing, and is the dimension within which the homogenisation is achieved only by micromixing [25]. The lower the minimum scale of segregation, the higher the micromixing efficiency.…”

Section: Dushman Methodsmentioning

confidence: 99%

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Mixing performance and continuous production of nanomaterials in an advanced-flow reactor

Yang

Zheng

et al. 2021

Chemical Engineering Journal

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Section: Dushman Methodsmentioning

confidence: 99%

“…Generally, the mixing process is divided into three stages, i.e. micro-, mesoand macromixing [24,25]. Macromixing is defined as the mixing on the scale of the reactor; that is how the fluid is distributed across the whole reactor.…”

Section: Introductionmentioning

confidence: 99%

Mixing performance and continuous production of nanomaterials in an advanced-flow reactor

Yang

Zheng

et al. 2021

Chemical Engineering Journal

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“…In the reaction systems, the reaction processes is accompanied by the enthalpy and kinetics change [ 48 ], so the dissipated energy is used to estimate the intensive mixing time. If the reaction is included, other indexes, such as pH value, are also used to evaluate the mixing performance according to the reaction type [ 49 , 50 , 51 ].…”

Section: Characterization Of Mixing In Microdropletsmentioning

confidence: 99%

Passive Mixing inside Microdroplets

et al. 2018

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Droplet-based micromixers are essential units in many microfluidic devices for widespread applications, such as diagnostics and synthesis. The mixers can be either passive or active. When compared to active methods, the passive mixer is widely used because it does not require extra energy input apart from the pump drive. In recent years, several passive droplet-based mixers were developed, where mixing was characterized by both experiments and simulation. A unified physical understanding of both experimental processes and simulation models is beneficial for effectively developing new and efficient mixing techniques. This review covers the state-of-the-art passive droplet-based micromixers in microfluidics, which mainly focuses on three aspects: (1) Mixing parameters and analysis method; (2) Typical mixing element designs and the mixing characters in experiments; and, (3) Comprehensive introduction of numerical models used in microfluidic flow and diffusion.

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“…However, mixing at a high flow-rate ratio is frequently encountered in industrial processes. 21,22 Consequently, a design strategy for the MDM at different flow-rate ratios is essential for the optimization of reaction systems. As for the scaling-up of micromixers, numbering up and sizing up are mainly adopted at present.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation on the Scaling-Up of Microsieve Dispersion Mixers

Chen

Wang

et al. 2022

Ind. Eng. Chem. Res.

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Scaling-up is a significant topic for micromixers and their industrialized applications. In this work, the scaling-up of microsieve dispersion mixers (MDMs) is systematically investigated. Two scaling-up ways, including sizing-up of the main channel or the microsieve and numbering-up of microsieves, are studied. The mixing performance is characterized by experiments as well as CFD simulation. The results show that the preference of sizing-up dimensions to optimize the micromixing performance at a low flow rate ratio (R, R = 1) is contrary to that of a high R (R = 8) for both sizing-up choices. Numbering-up of microsieves is superior to sizing-up of microsieves, and numbering up in the l 1 direction is preferred. Equivalent micromixing performance can be maintained as long as the Reynolds number is kept constant during scaling-up. Two flow patterns including unrestricted and restricted flows are observed, which account for the difference in micromixing performance, and are distinguished by a dimensionless number. A mathematical model is established and used to predict the micromixing performance. Moreover, a design procedure for scaling up of MDMs is proposed.

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Determination of the Micromixing Scale in a Microdevice by Numerical Simulation and Experiments

Cited by 9 publications

References 42 publications

Mixing performance and continuous production of nanomaterials in an advanced-flow reactor

Mixing performance and continuous production of nanomaterials in an advanced-flow reactor

Passive Mixing inside Microdroplets

Experimental and Numerical Investigation on the Scaling-Up of Microsieve Dispersion Mixers

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