Abstract

Understanding the flow fields at the micro-scale is key to developing methods of successfully mixing fluids for micro-scale applications. This paper investigates flow characteristics and mixing efficiency of three different geometries in micro-channels. The geometries of these channels were rectangular with a dimension of; 300 μm wide, 100 μm deep and 50 mm long. In first channel there was no obstacle and in the second channel there were rectangular blocks of dimension 300 μm long and 150 μm wide are placed in the flow fields with every 300 μm distance attaching along the channel wall. In the third geometry, there were 100 μm wide fins with 150° angle which were placed at a distance of 500 μm apart from each other attached with the wall along the 50 mm channel. Fluent software of Computational Fluid Dynamics (CFD) was used to investigate the flow characteristics within these microfluidic model for three different geometries. A species 2D model was created for three geometries and simulations were run in order to investigate the mixing behaviour of two different fluid with viscosity of water (1 mPa s). Models were only built to investigate the effect of geometry, therefore only one fluid with similar viscosity was used in these models. Velocity vector plots were used in the CFD analysis to visualise the fluid flow path. Mass fractions of fluid were used to analyse the mixing efficiency. Two different colours for water were used to simulate the effect of two different fluids. The results showed that the mixing behaviour strongly depended on the channel geometry when other parameters such as fluid inlet velocity, viscosity and pressure of fluids were kept constant. In two geometries lateral pressure and swirling vortexes were developed which provided better mixing results. Creation of swirling vortexes increased diffusion gradients which enhanced diffusive mixing.

Highlights

  • Microfluidics is the study of fluid flow in geometries with one of the channel dimensions being of the micrometer scale

  • The amount of one fluid compared to other fluid throughout the model provided a general picture of the mixing taking place

  • Computational Fluid Dynamics (CFD) models were successfully developed for three different microfludic geometries

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Summary

Introduction

Microfluidics is the study of fluid flow in geometries with one of the channel dimensions being of the micrometer scale. These geometries are built-up into circuits known as microfluidic chips This technology has been the cause for much research, as it provides a means for carrying out key chemical assessment processes in the biomedical field [1,2]. Other advantages include the fact that they are readily automated, parallelizable, portable and have relatively low materials cost [6] This technology has many application in many different fields including pharmaceuticals, cosmetics, medicine and biotechnology [1,2,6]. One important application of the microfluidic devices is for biological processing where rapid mixing is usually an important step Besides biological analysis, another application field of the fluid micromixing technology is in microreactor which may bring revolutionary influence on modern chemistry. The flow patterns have direct effects on resultant mixing pattern and efficiency which were studied

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