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High Speed Droplet-based Delivery System for Passive Pumping in Microfluidic Devices

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Published on: September 2, 2009

A versatile droplet on demand generator based on active pressure control.

Ahmed Albadi¹, Yang Zhang¹

¹Department of Mechanical Engineering, The University of Sheffield, Sir Frederick Mappin Building, Sheffield S1 3JD, United Kingdom.

The Review of Scientific Instruments

|December 31, 2020

Summary

This summary is machine-generated.

A novel on-demand droplet generator was developed using readily available parts. This reliable device precisely controls droplet size and speed for repeatable experiments in fire dynamics and other scientific fields.

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Area of Science:

Engineering
Fluid Dynamics
Materials Science

Background:

Precise control over droplet generation is crucial for various scientific studies, including fire dynamics and suppression.
Existing droplet generation methods may lack versatility or reliability in controlling droplet size and ejection parameters.

Purpose of the Study:

To develop and characterize a novel, on-demand droplet generator using off-the-shelf electromechanical components.
To achieve a broad range of droplet sizes with high repeatability and accuracy.
To demonstrate the device's utility in fire dynamics research.

Main Methods:

The generator was constructed using modular, readily available electromechanical components.
High-speed imaging was employed to visualize and analyze droplet formation at the nozzle.
Interchangeable nozzles and active pressure control were utilized to vary droplet size and initial velocity.
The device's performance was characterized through systematic testing and calibration.

Main Results:

The developed droplet generator reliably produces a wide range of droplet sizes with precise control over size and initial speed.
High-speed imaging successfully identified stable and unstable droplet formation regions.
Active pressure control ensured high repeatability of droplet ejection parameters.
Efficient calibration methodologies were established for selecting desired droplet characteristics.

Conclusions:

The novel on-demand droplet generator offers a reliable, versatile, and cost-effective solution for precise droplet generation.
The device's design facilitates easy implementation in fire dynamics studies and other scientific applications requiring controlled droplet delivery.
The characterization data enables researchers to select specific droplet sizes and velocities for their experiments.