Pattern recognition algorithm for analysis of chugging direct contact condensation

•Pattern recognition applied to rapidly condensing large bubbles.•Bubble volume and surface area were estimated from pattern recognition data.•Surface velocity and acceleration were acquired.•The data is used to estimate chugging frequency and wavelengths of instabilities. Direct contact condensatio...

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Vydáno v:Nuclear engineering and design Ročník 332; s. 202 - 212
Hlavní autoři: Hujala, Elina, Tanskanen, Vesa, Hyvärinen, Juhani
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.06.2018
Elsevier BV
Témata:
Algorithms
Boiling water reactors
Bubbles
Cameras
Collapse
Computational fluid dynamics
Computer applications
Condensates
Condensation
Data analysis
Data processing
Experiments
Finite element method
Fluid dynamics
High speed cameras
Hydrodynamics
Interface stability
Mathematical models
Pattern analysis
Pattern recognition
Surface area
Surface stability
Taylor instability
Ultrasonic testing
ISSN:0029-5493, 1872-759X
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Shrnutí:•Pattern recognition applied to rapidly condensing large bubbles.•Bubble volume and surface area were estimated from pattern recognition data.•Surface velocity and acceleration were acquired.•The data is used to estimate chugging frequency and wavelengths of instabilities. Direct contact condensation of steam bubbles in a boiling water reactor suppression pool has long been studied utilizing video recording of experiments. The use of video recording enables observation of the behaviour of the bubble surface area and can assist in validation of computational fluid dynamics models. A direct contact condensation experiment of the suppression pool test facility PPOOLEX was recorded using high-speed cameras. The recorded video material was used for development of a pattern recognition and data analysis algorithm. 300 fps video of 48 s duration was cut into frames with a resolution of 768px×768px. The side profile of the bubbles was identified and the volumes and surface areas of the bubbles were evaluated using a voxel-based method. The purpose of the algorithm was to determine the shape and size of steam bubbles during their formation, expansion, collapse and re-formation. The most probabilistic chugging frequencies were estimated. The bubble geometry data were also used to determine the velocity and acceleration of the phase interface, as condensation induced Rayleigh-Taylor instability develops on the bubble surface during the bubble collapse, as the heavy phase accelerates towards the light phase. Knowledge of the critical wave length is necessary for mesh spacing in CFD calculations. The algorithm appears to be promising. Some limitations exist and approximations need to be made due to the challenging video shooting conditions. The algorithm works well for cylindrical bubbles and provides important data on the dynamics of the phase interface necessary for numerical modelling of direct contact condensation.
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ISSN:0029-5493
1872-759X
DOI:10.1016/j.nucengdes.2018.03.032