Machine learning boiling prediction: From autonomous vision of flow visualization data to performance parameter theoretical modeling

Author:

Huang Cho-NingORCID,Chang Sanghyeon,Suh Youngjoon,Mudawar Issam,Won Yoonjin,Kharangate Chirag R.ORCID

Funder

Office of Naval Research

Publisher

Elsevier BV

Reference80 articles.

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2. Experimental investigations on modified thermosyphons using R134a/Al2O3 and comparative machine learning analysis;Anand;Appl. Therm. Eng.,2022

3. Investigation of the resistance during the movement of steam-water mixtures in a heated boiler pie at high pressure;Armand;Atomic Energy Res. Establ.,1959

4. A simple but accurate round tube, uniform heat flux, dryout correlation over the pressure range 0.7-17 MN/m 2 (100-2500 PSIA);Bowring,1972

5. Assessment of void fraction models and correlations for subcooled boiling in vertical upflow in a circular tube;Cai;Int. J. Heat. Mass Transf.,2021

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