Integrating machine learning and image processing for void fraction estimation in two-phase flow through corrugated channels

Author:

Passoni StefanoORCID,Mereu RiccardoORCID,Bucci MatteoORCID

Funder

Euratom Research and Training Programme

EU Framework Programme for Research and Innovation Euratom

Publisher

Elsevier BV

Reference22 articles.

1. Plate heat exchanger literature survey and new heat transfer and pressure drop correlations for refrigerant evaporators characterization of advanced heat exchanger performance of single and multi-phase flows view project;Ayub,2003

2. Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution;Buscher;Int. J. Heat Mass Transfer,2019

3. Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns;Buscher;Int. J. Multiph. Flow,2022

4. U-Net: Deep learning for cell counting, detection, and morphometry;Falk;Nature Methods,2019

5. Capillarity and Wetting Phenomena: Drops, Bubbles, Pearls, Waves;Gennes,2004

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