Exploring the Design Efficiency of Random Microfluidic Mixers

Zhang, Naiyin; Zha, Kaiyin; Wang, Junchao

doi:10.1109/access.2021.3050161

Cited by 3 publications

(4 citation statements)

References 28 publications

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“…In Category 4, designs incorporate interconnected networks [ 36 ] or hierarchical structures [ 37 ] into hybrid mixers [ 38 , 39 ] that incorporate obstacles and curvature. These can facilitate multi-stage mixing and chaotic mixing and increase residence time, thereby improving the mixing index.…”

Section: Categorization Of Passive Micromixersmentioning

confidence: 99%

“…Innovative Y and T junction mixers have been designed by Fischer and Kockmann [ 54 ] ( Figure 3 C((i) and (ii)). Okuducu and Aral [ 78 ] designed the circular shaped fluid overlapping Micromixer while another innovative design is the Random mixers presented by Zhang et al [ 37 ]. Adeosun and Lawal [ 36 ] designed a Multilaminated Elongational Flow Micromixer (MEFM) ( Figure 3 C(v)) which consists of a manifold which, in turn, consists of several trapezoidal elements with the geometric focusing nature of the mixture design layout that imparts elongation flow via folding and the local and global re-orientation of fluid interfaces.…”

Section: Categorization Of Passive Micromixersmentioning

confidence: 99%

“…( C ). Category 4 Micromixers: (i) Twisted Y-Junction mixer; (ii) Tangential T Junction, Fischer and Kockmann, [ 54 ]; (iii) Circular-shaped Fluid Overlapping Micromixer, Okuducu and Aral, [ 78 ]; (iv) Random mixers, Zhang et al [ 37 ]; (v) Multi-laminational elongated flow mixer, Adeosun and Lawal [ 36 ]; (vi) Two-layer crossing microchannel micromixer, Amar et al [ 77 ]; (vii) Helical, Baker, and Small Micromixers, Ruijin et al [ 40 ]; (viii) SAR micromixer for blood mixing, Tran-Minh et al [ 61 ]; (ix) HC Micromixer, Mahmud et al [ 83 ]; (x) Sickle, venture, SZ-type micromixers, Plouffe et al [ 38 ]; (xi) Pore Array Tube-in-Tube micromixer, Li et al [ 13 ]; (xii) Tree Micromixer, Wang et al [ 57 ]; (xiii) Corning Advanced Flow Reactor, Nieves-Remancha et al [ 39 ].…”

Section: Figurementioning

confidence: 99%

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A Review of Pressure Drop and Mixing Characteristics in Passive Mixers Involving Miscible Liquids

Ganguli,

Bhatt,

Yagodnitsyna

et al. 2024

Micromachines

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The present review focuses on the recent studies carried out in passive micromixers for understanding the hydrodynamics and transport phenomena of miscible liquid–liquid (LL) systems in terms of pressure drop and mixing indices. First, the passive micromixers have been categorized based on the type of complexity in shape, size, and configuration. It is observed that the use of different aspect ratios of the microchannel width, presence of obstructions, flow and operating conditions, and fluid properties majorly affect the mixing characteristics and pressure drop in passive micromixers. A regime map for the micromixer selection based on optimization of mixing index (MI) and pressure drop has been identified based on the literature data for the Reynolds number (Re) range (1 ≤ Re ≤ 100). The map comprehensively summarizes the favorable, moderately favorable, or non-operable regimes of a micromixer. Further, regions for special applications of complex micromixer shapes and micromixers operating at low Re have been identified. Similarly, the operable limits for a micromixer based on pressure drop for Re range 0.1 < Re < 100,000 have been identified. A comparison of measured pressure drop with fundamentally derived analytical expressions show that Category 3 and 4 micromixers mostly have higher pressure drops, except for a few efficient ones. An MI regime map comprising diffusion, chaotic advection, and mixed advection-dominated zones has also been devised. An empirical correlation for pressure drop as a function of Reynolds number has been developed and a corresponding friction factor has been obtained. Predictions on heat and mass transfer based on analogies in micromixers have also been proposed.

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Section: Categorization Of Passive Micromixersmentioning

confidence: 99%

Section: Categorization Of Passive Micromixersmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

See 1 more Smart Citation

A Review of Pressure Drop and Mixing Characteristics in Passive Mixers Involving Miscible Liquids

Ganguli,

Bhatt,

Yagodnitsyna

et al. 2024

Micromachines

View full text Add to dashboard Cite

show abstract

“…It plays a key role in medical treatment, chemistry, and other fields . The traditional micromixer is made of a planar single-layer structure. − Nowadays, with the improvement of 3D printing technology and the application of new materials, the production methods of micromixer are more diverse …”

Section: Introductionmentioning

confidence: 99%

Efficient Mixing of Microfluidic Chip with a Three-Dimensional Spiral Structure

et al. 2021

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In this paper, a helical three-dimensional (3D) passive micromixer is presented. A three-dimensional spiral passive micromixer is fabricated through the 3D printing technology and the polymer dissolution technology. The main process is as follows: First of all, a high-impact polystyrene (HIPS) material was used to make a 3D spiral channel mold. Second, the channel mold was dissolved in limonene solvent. The mixing experiment shows that the single helix structure can improve the mixing efficiency to 0.85, compared with the mixing efficiency of 0.78 in the traditional T-shaped two-dimensional (2D)-plane channel. Different screw diameters, screw number structures, and flow rates are used to test the mixing effect. The optimal helical structure is 5 mm, and the flow rate is 2.0 mL/min. Finally, the mixing efficiency of the 3D helical micromixer can reach 0.948. The results show that the three-dimensional helical structure can effectively improve the mixing efficiency.

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A universal inverse design methodology for microfluidic mixers

Zhang,

Sun,

Liu

et al. 2024

Biomicrofluidics

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The intelligent design of microfluidic mixers encompasses both the automation of predicting fluid performance and the structural design of mixers. This article delves into the technical trajectory of computer-aided design for micromixers, leveraging artificial intelligence algorithms. We propose an automated micromixer design methodology rooted in cost-effective artificial neural network (ANN) models paired with inverse design algorithms. Initially, we introduce two inverse design methods for micromixers: one that combines ANN with multi-objective genetic algorithms, and another that fuses ANN with particle swarm optimization algorithms. Subsequently, using two benchmark micromixers as case studies, we demonstrate the automatic derivation of micromixer structural parameters. Finally, we automatically design and optimize 50 sets of micromixer structures using the proposed algorithms. The design accuracy is further enhanced by analyzing the inverse design algorithm from a statistical standpoint.

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Exploring the Design Efficiency of Random Microfluidic Mixers

Cited by 3 publications

References 28 publications

A Review of Pressure Drop and Mixing Characteristics in Passive Mixers Involving Miscible Liquids

A Review of Pressure Drop and Mixing Characteristics in Passive Mixers Involving Miscible Liquids

Efficient Mixing of Microfluidic Chip with a Three-Dimensional Spiral Structure

A universal inverse design methodology for microfluidic mixers

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