Physics-based parameters selection and machine learning driven prediction of pool boiling bubble departure diameter
To predict the bubble departure diameter in pool boiling heat transfer, this study proposes a deep-learning neural network based on physical input parameters from the existing bubble departure diameter predicting correlations and Pearson correlation for a variety of working fluids, engineered surfac...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174524002733 |
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