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Interface Capturing Simulations on Pool Boiling Performance With Multiple Nucleation Sites...

by Yuqiao Fan, Mengnan Li, William D Pointer, Igor Bolotnov
Publication Type
Conference Paper
Book Title
19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-19)
Publication Date
Page Numbers
1 to 16
Publisher Location
United States of America
Conference Name
19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-19)
Conference Location
Brussels, Belgium
Conference Sponsor
American Nuclear Society
Conference Date
-

High-fidelity pool boiling simulations can provide a numerical database for improving mechanistic boiling models by allowing for specific evaluation of interactions among bubbles. Previously published pool boiling simulations investigated two nucleation sites in which bubble growth at one site suppressed nucleation at the other site. Based on previous study results, more complicated interface-capturing simulations on pool boiling were conducted using PHASTA code with locally refined unstructured mesh.

First, different boundary conditions (BCs) were assessed to support robustness and reproducibility of the boiling model. Then, a scale study was conducted at a larger domain with nine nucleation sites, four of which were activated. Involving more nucleation sites increased the complexity of bubble interactions from surrounding sites. Finally, bubble departure behavior influenced by wall heat flux was investigated. When heat flux was increased, the order of bubble departure changed, but diagonal bubbles always departed after one another. The departure time interval between the first and second bubble reduced as heat flux increased. The corresponding frequency was almost linearly proportional to the heat flux. In addition, bubble departure behavior was found to be greatly influenced by the nucleation site pattern. Multiple nucleation sites resulted in superimposed inhibitive effects from surrounding sites to each bubble, which extensively delayed the departure.

The work presented here provides new insight on the fundamental understanding of boiling phenomena, contributes to the development of a 3D multiphase computational fluid dynamics (M-CFD) model, and provides a more comprehensive database for data-driven pool boiling studies.