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PMID: 35833059 Published · epublish English Journal Article Retracted Publication

Application of CFD Numerical Simulation Image Imaging Technology in the Study of Droplet Microfluidic Multiphase Flow Characteristics.

Contrast media & molecular imaging ·Vol. 2022 ·2022-00-00 ·页码 5851658

Li H, Hu Z

Abstract

In order to study the problem that the flow in the internal channel of the microfluidic chip is different from that of the macroscopic system by the FD numerical simulation image imaging technology. Taking the liquid-liquid extraction of microfluidic chip as the research object, this paper analyzes the theoretical basis, working principle, structural parameters, and the influence of working parameters on the fluid flow of liquid-liquid extraction. The results are as follows: when the inlet velocity of flowing liquid is 10^(-5) m/s, the diffusion efficiency can still be maintained at 95%; the double ψ-type aqueous phase showed laminar flow, the two-phase contact interface increased compared with the bottom flow rate, and the extraction efficiency increased to 98%; the extraction efficiency of double ψ type is higher than that of double Y-type: when the flow velocity ratio increases from v aq : v oil=1 : 2 to v aq : v oil=5 : 1, the extraction efficiency increases to 99.8%; the experimental extraction efficiency is compared with the diffusion efficiency simulated by simulation. The diffusion efficiency of the cross type is 1.05 times that of the extraction efficiency, and that of the cylindrical type is 1.04 times that of the extraction efficiency. In this study, CFD is used to simulate the characteristics of droplet microfluidic multiphase flow, which enriches the theoretical method and research experience of liquid-liquid laminar flow.

MeSH 主题词
Computer Simulation Microfluidics/methods Water/chemistry
化学物质
Water
作者与单位
共 2 位作者,点击展开单位 / ORCID
Li Hao ORCID
Central South University, Changsha, Hunan 410000, China.
Hu Zihan ORCID
Central South University, Changsha, Hunan 410000, China.
Article Info
Journal
Contrast media & molecular imaging
Abbr.
Contrast Media Mol Imaging
ISSN
1555-4317
Published
2022-00-00
电子出版
2022-00-27
页码
5851658
Language
English
Country/Region
England
NLM ID
101286760
勘误 / 撤稿关联
RetractionIn
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