On the prediction of critical heat flux using a physics-informed machine learning-aided framework

Author:

Zhao Xingang,Shirvan Koroush,Salko Robert K.,Guo Fengdi

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference51 articles.

1. Critical heat flux in flow boiling—review of the current understanding and experimental approaches;Bruder;Heat Transf. Eng.,2017

2. N.E. Todreas, M.S. Kazimi, Nuclear Systems. Volume I: Thermal Hydraulic Fundamentals, second ed., CRC Press, Boca Raton, 2012.

3. Rationalization of existing mechanistic models for the prediction of water subcooled flow boiling critical heat flux;Celata;Int. J. Heat Mass Transf.,1994

4. Neural network based correlation for critical heat flux in steam-water flows in pipes;Nafey;Int. J. Therm. Sci.,2009

5. Studies on burnout. Part 3: A new correlation for round ducts and uniform heating and its comparison with World Data;Biasi;Energia Nucl.,1967

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