Automated Segmentation and Analysis of High-Speed Video Phase-Detection Data for Boiling Heat Transfer Characterization Using U-Net Convolutional Neural Networks and Uncertainty Quantification
Boiling heat transfer is a complex phenomenon used for cooling and heat management purposes in various industrial applications, such as nuclear reactors. Accurate characterization and understanding of boiling dynamics are essential for the design and optimization of heat transfer systems. High-speed...
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155645 https://orcid.org/0000-0001-9947-5855 |