The effect of heterogeneous surface charges on mixing in a combined electroosmotic/pressure-driven micromixer

Farahinia, A.; Jamaati, Jafar; Niazmand, Hamid; Zhang, Wenjun

doi:10.1007/s40430-021-03215-x

Cited by 5 publications

(2 citation statements)

References 57 publications

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“…Machine learning models are beginning to be utilized for optimizing channel dimensions and input parameters, thereby enhancing the efficiency of micromixers [116,117]. There are also possibilities for developing active micromixers with feedback control systems, potentially incorporating sensors (e.g., optical) for improved reliability and robustness [118].…”

Section: Future Developmentsmentioning

confidence: 99%

Microfluidic Mixing: A Physics-Oriented Review

Saravanakumar,

Cicek

2023

Micromachines

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This comprehensive review paper focuses on the intricate physics of microfluidics and their application in micromixing techniques. Various methods for enhancing mixing in microchannels are explored, with a keen emphasis on the underlying fluid dynamics principles. Geometrical micromixers employ complex channel designs to induce fluid–fluid interface distortions, yielding efficient mixing while retaining manufacturing simplicity. These methods synergize effectively with external techniques, showcasing promising potential. Electrohydrodynamics harnesses electrokinetic phenomena like electroosmosis, electrophoresis, and electrothermal effects. These methods offer dynamic control over mixing parameters via applied voltage, frequency, and electrode positioning, although power consumption and heating can be drawbacks. Acoustofluidics leverages acoustic waves to drive microstreaming, offering localized yet far-reaching effects. Magnetohydrodynamics, though limited in applicability to certain fluids, showcases potential by utilizing magnetic fields to propel mixing. Selecting an approach hinges on trade-offs among complexity, efficiency, and compatibility with fluid properties. Understanding the physics of fluid behavior and rationalizing these techniques aids in tailoring the most suitable micromixing solution. In a rapidly advancing field, this paper provides a consolidated understanding of these techniques, facilitating the informed choice of approach for specific microfluidic mixing needs.

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Section: Future Developmentsmentioning

confidence: 99%

Microfluidic Mixing: A Physics-Oriented Review

Saravanakumar,

Cicek

2023

Micromachines

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“…Using discrete optimization techniques, they found that the diagonal pattern provided the best mixing condition. In another study, Farahinia et al 26 investigated the mixing performance in heterogeneous charged microchannels using a combination of pressure-driven and electroosmotic flow. By integrating active and passive micromixer features, they developed an optimized microfluidic system.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization of heterogeneously charged surface features in electrokinetic micromixing of non-Newtonian fluids

Kumar Bansal,

Dayal,

Kumar

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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This study investigates the mixing of non-Newtonian fluids in microfluidic devices using electrokinetic phenomena Micromixing is a crucial operation that finds multiple applications in chemical research and biomedical diagnostics. In order to improve mixing, multiple combinations of heterogeneously charged triangular elements are considered for investigation. The power-law model was used to characterize the non-Newtonian behavior of fluids. The effect of different geometrical parameters (hurdle length, height, number, and shape) and electrical parameters (applied external electric field and zeta potential on hurdles) on mixing are evaluated. The results indicate that the element shape, number, and fluid viscosity significantly affect mixing in microchannels. Moreover, the homogeneity of the mixed fluids increases with the flow behavior index (n). We found that dilatant fluids mix relatively better than pseudoplastic fluids. Finally, the Taguchi technique used to evaluate the combined effect of all factors and obtained optimal mixing conditions for various flow behavior indices (n) of non-Newtonian fluids.

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