Machine-learning algorithms for predicting condensation heat transfer coefficients in the presence of non-condensable gases

Author:

Li Fangning,Cao HaishanORCID

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Elsevier BV

Reference103 articles.

1. Ahn, H.-K., Lee, Y.-G., Kim, J.-W., Park, G.-C., 2007. Experimental Study on the Condensation Heat Transfer with Non-condensable Gas at High Pressure. In: Proceedings of Korean Nuclear Spring Meeting.

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3. Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning methods;Bard;Appl. Therm. Eng.,2022

4. A review on boilers energy use, energy savings, and emissions reductions;Barma;Renew. Sustain. Energy Rev.,2017

5. Comprehensive parameter analyses on steam-air condensation at pressures up to 1.6 MPa;Bian;Nucl. Eng. Des.,2021

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