Development of a deep learning-based image processing technique for bubble pattern recognition and shape reconstruction in dense bubbly flows

•Novel CNN-based bubble identification algorithm.•Bubbles detection in images with high bubble overlapping.•Accurate determination of bubbles velocities and size distributions.•High potential for the application to bubbly flows with high gas volume fractions. This work presents a Convolutional Neura...

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Veröffentlicht in:	Chemical engineering science Jg. 230; S. 116163
Hauptverfasser:	Cerqueira, Rafael F.L., Paladino, Emilio E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 02.02.2021
Schlagworte:	Bubble size distribution Bubbly flow Convolution neural networks Deep learning Deep learning Bubbly flow Convolution neural networks Bubble size distribution
ISSN:	0009-2509, 1873-4405
Online-Zugang:	Volltext
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