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Microfluidic Droplet-Generation Device with Flexible Walls
Sajad Yazdanparast1, Pouya Rezai1, Alidad Amirfazli1
1Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada.
Micromachines
|September 28, 2023
Summary
Researchers developed a flexible microfluidic device for precise droplet size control. This innovation enables a wider range of droplet sizes from a single apparatus, advancing applications in drug discovery and manufacturing.
Area of Science:
- Microfluidics
- Fluid Dynamics
- Biomedical Engineering
Background:
- Precise control of droplet size is critical for biomedical research, drug discovery, high-throughput screening, and emulsion manufacturing.
- Current droplet generation devices often have limited ranges of droplet sizes and require multiple setups.
Purpose of the Study:
- To develop a single co-flow microfluidic device with adjustable channel width for flexible droplet size control.
- To investigate the impact of channel width on droplet generation regimes and sizes.
Main Methods:
- A co-flow microfluidic device with adjustable flexible walls was designed and fabricated.
- The continuous (C)-phase channel width was varied to modulate flow velocity and viscous forces.
- Droplet generation regimes (dripping and plug) were observed, and droplet sizes were measured across different channel widths and flow conditions.
Main Results:
- Adjusting the channel width allowed for on-demand modulation of droplet sizes within a single device.
- Two regimes, dripping and plug, were identified based on channel width and low dispersed (D)-phase Weber numbers.
- Reducing channel width, particularly at a constant C-phase flow rate, resulted in smaller droplets due to wall effects and increased C-phase velocity.
- A droplet size range of 175–913 µm was achieved, significantly wider than existing single-device capabilities.
Conclusions:
- The developed microfluidic device offers a versatile platform for generating a broad spectrum of droplet sizes.
- An empirical model based on Buckingham's Pi theorem was established to predict droplet size, incorporating channel dimensions and flow parameters.

