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Numerical Study of Droplet Generation Process in a Microfluidic Flow Focusing

Publish Year: 1394
Type: Journal paper
Language: English
View: 742

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Document National Code:

JR_JCAM-46-2_006

Index date: 10 April 2018

Numerical Study of Droplet Generation Process in a Microfluidic Flow Focusing abstract

Microfluidic flow focusing devices have been utilized for droplet generation on account of its superior control over droplet size. Droplet based microfluidics addressed many scientific issues by providing a novel technological platform for applications such as biology, pharmaceutical industry, biomedical studies and drug delivery. This study numerically investigated the droplet generation process of an aqueous flow in oleic acid oil in a microfluidic flow focusing device. A conservative level set method is conducted to numerically model the droplet generation process. The post processing of the simulation results are done using Canny edge detection image processing method, which is a novel approach. Moreover, the results of the numerical simulation were compared to the experimental data provided by Ten et al. on the same device. This method showed a maximum average deviation from the experimental results of 14.6% and a minimum of 6.96%. Also, by means of altering water and oil flows, the influence of parameters affecting droplet size, which lead to a better understanding of droplet generation phenomenon, was investigated in this study. Therefore, it can be concluded that the flow ratio and capillary number are the two primary parameters that affect droplet size, while capillary number showed more dominance in comparison to flow ratio.

Numerical Study of Droplet Generation Process in a Microfluidic Flow Focusing Keywords:

computational fluid dynamics (CFD) , droplet generation , flow focusing , level set , microfluidic

Numerical Study of Droplet Generation Process in a Microfluidic Flow Focusing authors

Ali Lashkaripour

Department of Life Science Engineering, University of Tehran, Tehran, Iran

Ali Abouei Mehrizi

Department of Life Science Engineering, University of Tehran, Tehran, Iran

Mohammadreza Rasouli

Department of Life Science Engineering, University of Tehran, Tehran, Iran

Masoud Goharimanesh

Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran