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A predictive model for fin array boiling heat transfer performance under two-phase immersion cooling
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DOI：10.1016/j.ijheatmasstransfer.2024.126513.png)
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Abstract
En 中文
Heat sinks with extended surface area can enhance the pool boiling performance for two-phase immersion cooling of electronic devices. However, even for a simple heat sink geometry with an array of longitudinal fins, predicting performance during boiling is challenging. Individual fins can be modeled as extended surfaces with a superheat-dependent heat transfer coefficient based on flat surface boiling performance, but this approach fails in the limit of closely spaced fin arrays because of fin-vapor interactions. Recent studies have identified the fluid capillary length L(b )as the key length scale at which such vapor confinement effects must be considered to accurately predict the performance of finned heat sinks in pool boiling. In this study, we propose a predictive model for the pool boiling heat transfer performance of a fin array heat sink, valid across all dimensions above and below the capillary length. The model follows a fin analysis with a constant base superheat and a heat transfer coefficient that is dependent on local fin surface superheat. This fin-specific function h(fin) ( Delta T) is determined from an empirically calibrated function h(flat )( Delta T) obtained from a flat surface boiling test with the same surface characteristics. For fin spacing above the capillary length (S > L-b ), h(flat )( Delta T) can be directly applied as h(fin) ( Delta T). Whereas for fin spacing below the capillary length (S
Keywords:
Pool boiling
Immersion cooling
Heat sink
Fin analysis
Vapor confinement
Critical heat flux
Journal
IF:
5.8
Papers:
2.6W
Citations:
10.2W
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