Learning The Fluid/Flow Properties Using Microfluidics

Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.

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Bibliographic Details
Published in:EPJ Web of Conferences 2019, Vol.215, p.10002
Main Authors: Hadikhani, Pooria, Borhani, Navid, Hashemi, S. Mohammad H., Psaltis, Demetri
Format: Article
Language:English
Subjects:
Artificial neural networks
Flow velocity
Microfluidics
Online Access:Get full text
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Description
Summary:Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201921510002