Image processing for identification of vapor phase on a heating surface under the nonstationary boiling conditions
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. © The Authors, published by EDP Sciences.
Библиографическая ссылка Zhevnev P., Khan P., Mikheev A. Image processing for identification of vapor phase on a heating surface under the nonstationary boiling conditions // E3S Web of Conferences. Vol.114. ID: 07006. 2019. DOI: 10.1051/e3sconf/201911407006
Проиндексировано: WOS
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