High throughput millifluidics mixer with double triangle baffle for improvement of mixing performance and reduction of flow resistance designed by grey relational analysis

Zhao, Shufan; Wei, Yimin; Yu, Pengjie; Nie, Yingying; Hu, Runze; He, Wei; Zhu, Ning; Li, Yuguang; Ji, Dong; Guo, Kai

doi:10.1016/j.cep.2022.109166

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…where c p is the heat capacity at a constant pressure of the fluid, T is the temperature, and k is the thermal conductivity of the fluid. The formula of Reynolds number (Re) is as follows [30] :…”

Section: Numerical Simulation Methods and Theoretical Formulasmentioning

confidence: 99%

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Improvement of mass and heat transfer efficiency in a scale‐up microfluidic mixer designed by CFD simulation

Nie

Zhao

et al. 2023

Can J Chem Eng

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Due to scale effects, directly enlarging the size of the micromixer is an easy way to reduce the efficiency of mass and heat transfer in the continuous flow chemical process. It is urgently needed to solve the problem of mass and heat transfer efficiency of the scale‐up mixer. A scale‐up microfluidic mixer with a porous structure was designed to improve the mass and heat transfer efficiency using computational fluid dynamics (CFD) simulations. The effects of rotation angle, porosity, and baffle spacing were studied to optimize the mixer structure. Compared with the 1 mm mixer without structure, the scale‐up mixer has a higher mixing efficiency and an 80% reduction in energy consumption at Re ≥ 700. A Nusselt number was used to evaluate the heat transfer efficiency of the mixer during fluid heating. The results show that the porous baffle promotes the generation of secondary flow and enhances the heat transfer effect, making its Nu increase by three times compared with the unstructured mixer. The scale‐up microfluidic mixer with a porous structure can effectively improve the mass and heat transfer performance. This study can provide a reference for the design or development of a novel scale‐up mixer.

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Section: Numerical Simulation Methods and Theoretical Formulasmentioning

confidence: 99%

“…The formula of Reynolds number (Re) is as follows [ 30 ] :

\begin{matrix} Re goodbreak= \frac{ρ {uD}_{h}}{μ} \end{matrix}

where u is the average inflow velocity normal to the inlet plane and D h represents the hydraulic diameter.…”

Section: Methodsmentioning

confidence: 99%

Improvement of mass and heat transfer efficiency in a scale‐up microfluidic mixer designed by CFD simulation

Nie

Zhao

et al. 2023

Can J Chem Eng

Self Cite

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“…The highest SNR value for each parameter indicates the optimal level for that parameter, while the highest primary impact value signifies the parameter's most significant influence on system performance. Subsequently, a Mean Effective Plot (response graph) for SNRs is generated using the optimum control factors derived from the response table, allowing for an in-depth analysis of the impact of control factors on performance [35], [36].…”

Section: Taguchi Methods (Taguchi Yöntemi)mentioning

confidence: 99%

“…The analysis of SNR incorporates three distinct performance characteristics: larger-is-better, nominal-is-better, and smaller-is-better. In this context, the preference was given to 'larger-isbetter' performance characteristics, and Equation (2) was utilized to calculate SNR values, facilitating a comprehensive assessment of the system's performance [31], [34], [35], [36].…”

Section: Taguchi Methods (Taguchi Yöntemi)mentioning

confidence: 99%

Taguchi ve ANOVA Analizi Kullanılarak Fotovoltaik Enerji Santrallerinde Dizi Tasarımının Optimizasyonu

ÇİNİCİ,

ACIR

2023

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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Fossil fuels, predominant in fulfilling current energy demands, are implicated in global warming, prompting a global shift towards renewable energy sources. Among these, photovoltaic (PV) solar power plants have garnered significant attention, experiencing a rapid surge in installed power capacity. However, a notable drawback of PV solar power plants is their considerable spatial footprint, emphasizing the pivotal role of efficient space utilization and shading mitigation in their design. Notably, pitch distance, array design, and PV type emerge as critical parameters influencing the performance of these power plants during installation. In the present study, eight distinct PV solar power plant designs were conceptualized, incorporating four different PV array configurations (2P-3P-2L-3L) and two PV types (monofacial-bifacial), each with specified orientations (portrait-landscape). Other parameters were held constant across designs. Leveraging PVsyst software, simulations were conducted for each design, yielding crucial performance metrics, including the annual energy output delivered to the grid (E-grid), performance ratio (PR), and associated CO2 emissions. Subsequently, a Taguchi analysis facilitated optimization based on these results. The outcome of this analysis identified the optimal PV array design as 3D and the optimal PV type as bifacial. Further insight was gained through an ANOVA analysis, revealing the substantial contributions of parameters to overall variability. Specifically, PV type exhibited a significant contribution of 65.27%, while PV array configuration contributed 34.72% to the observed variability in plant performance. These findings not only enhance the understanding of PV power plant design intricacies but also underscore the paramount significance of array design in achieving heightened efficiency and sustainability.

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“…The presence of baffles can guide the fluid to mix more effectively, helping to increase the mixing effect. By designing appropriate baffles, precise control of the degree of mixing can be achieved to meet the requirements of specific applications, reduce inhomogeneities in fluid flow, and ensure more uniform mixing [19][20][21][22]. Ansari et al [23] conducted experiments and numerical analyses on the design of a micromixer that generates vortex flow, and compared the mixing performance with a simple micro T-type mixer, and further extended it to planar serpentine microchannels.…”

Section: Introductionmentioning

confidence: 99%

Mixing Performance Analysis and Optimal Design of a Novel Passive Baffle Micromixer

Zheng,

Liu,

Tang

et al. 2024

Micromachines

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Micromixers, as crucial components of microfluidic devices, find widespread applications in the field of biochemistry. Due to the laminar flow in microchannels, mixing is challenging, and it significantly impacts the efficiency of rapid reactions. In this study, numerical simulations of four baffle micromixer structures were carried out at different Reynolds numbers (Re = 0.1, Re = 1, Re = 10, and Re = 100) in order to investigate the flow characteristics and mixing mechanism under different structures and optimize the micromixer by varying the vertical displacement of the baffle, the rotation angle, the horizontal spacing, and the number of baffle, and by taking into account the mixing intensity and pressure drop. The results indicated that the optimal mixing efficiency was achieved when the baffle’s vertical displacement was 90 μm, the baffle angle was 60°, the horizontal spacing was 130 μm, and there were 20 sets of baffles. At Re = 0.1, the mixing efficiency reached 99.4%, and, as Re increased, the mixing efficiency showed a trend of, first, decreasing and then increasing. At Re = 100, the mixing efficiency was 97.2%. Through simulation analysis of the mixing process, the structure of the baffle-type micromixer was effectively improved, contributing to enhanced fluid mixing efficiency and reaction speed.

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High throughput millifluidics mixer with double triangle baffle for improvement of mixing performance and reduction of flow resistance designed by grey relational analysis

Cited by 9 publications

References 35 publications

Improvement of mass and heat transfer efficiency in a scale‐up microfluidic mixer designed by CFD simulation

Improvement of mass and heat transfer efficiency in a scale‐up microfluidic mixer designed by CFD simulation

Taguchi ve ANOVA Analizi Kullanılarak Fotovoltaik Enerji Santrallerinde Dizi Tasarımının Optimizasyonu

Mixing Performance Analysis and Optimal Design of a Novel Passive Baffle Micromixer

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