E3S Web Conf.
Volume 114, 2019International Conference of Young Scientists “Energy Systems Research 2019”
|Number of page(s)||5|
|Published online||04 September 2019|
Image processing for identification of vapor phase on a heating surface under the nonstationary boiling conditions
Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
The paper presents a two-step approach to identify bubbles and their properties such as average sizes, and nucleation frequency in a two-phase liquid flow near the heating surface under the nonstationary boiling conditions. The first step of the approach, namely bubble identification, is based on the conventional cross-correlation algorithm applied to an experimental image acquired from the high-speed camera using the bubble image templates manually assigned in advance. Further post-processing step uses temporal identified bubble data to evaluate bubble dynamic properties and track the evolution of local vaporization sites on the heating surface.
Key words: bubble identification / bubble image / image clustering / cross-correlation / surface boiling.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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