Numerical investigation of departure size in subcooled flow boiling

Ke Lei; Jinfeng Wang; Bingjun Wang

doi:10.1117/12.2672757

29 March 2023 Numerical investigation of departure size in subcooled flow boiling

Ke Lei, Jinfeng Wang, Bingjun Wang

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125970R (2023) https://doi.org/10.1117/12.2672757
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

Bubble departure size of multiple bubbles were investigated to explore bubble dynamic based on VOF visual simulation. By contrast, bubble departure size increased with the increasing of velocity from 0.2 m/s to 0.4 m/s and with the decreasing of subcooling degree from 10K to 3K. It was also found that there was little difference in bubble departure size corresponding to heat flux of 200 kw/m², 300 kW/m² and 400 kW/m², but the magnitude of heat flux increased the number of nucleation that contributed to the increasing of bubble size due to coalescence. Finally, a fitting correlation was proposed to predict bubble departure size based on important dimensionless numbers regarding velocity, heat flux and subcooling degree, and the prediction deviation is about 5%.

Citation Download Citation

Ke Lei, Jinfeng Wang, and Bingjun Wang "Numerical investigation of departure size in subcooled flow boiling", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125970R (29 March 2023); https://doi.org/10.1117/12.2672757

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