Design Optimization for a Microfluidic Crossflow Filtration System Incorporating a Micromixer

Area of Science:

• Fluid dynamics
• Microfluidics
• Chemical engineering

Background:

• Microfluidic crossflow filtration systems are crucial for separation processes.
• Fouling remains a significant challenge, reducing system efficiency and lifespan.
• Staggered herringbone micromixers (SHM) offer potential for flow manipulation to mitigate fouling.

Purpose of the Study:

• To perform a numerical design optimization of a microfluidic crossflow filtration system.
• To incorporate a staggered herringbone micromixer (SHM) to mitigate filtration system fouling.
• To identify optimal design parameters for enhanced filtration performance.

Main Methods:

• Employed computational fluid dynamics (CFD) for detailed flow and mass transfer analysis.
• Utilized the Taguchi method with an orthogonal array for experimental design.
• Performed Analysis of Variance (ANOVA) on signal-to-noise ratios to determine parameter contributions.

Main Results:

• Investigated flow and mass transfer in SHM and plain microchannels.
• Observed that downwelling flows in SHM facilitate backtransport of foulants from the wall.
• Identified optimal design parameters (number of grooves, depth, spacing) for the SHM.
• The optimized SHM model demonstrated a reduced wall concentration growth rate.

Conclusions:

• Design optimization of SHM is effective in mitigating fouling in microfluidic filtration.
• Downwelling flows generated by SHM play a key role in reducing foulant accumulation.
• The Taguchi method and CFD provide a robust framework for optimizing microfluidic device design.