摘要: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.
其他摘要: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.