Numerical simulation and artificial neural network prediction of hydrodynamic and heat transfer in a geothermal heat exchanger to obtain the optimal diameter of tubes with the lowest entropy using water and Al2O3/water nanofluid

Author:

Jery Atef El,Khudhair Ahmed Kareem,Abbas Saad Qasim,Abed Azher M.,Khedher Khaled MohamedORCID

Funder

King Khalid University

Deanship of Scientific Research, King Faisal University

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology,Renewable Energy, Sustainability and the Environment

Reference86 articles.

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3. A parametric study of subcooled flow boiling of Al2O3/water nanofluid using numerical simulation and artificial neural networks;Alimoradi;Nanoscale Microscale Thermophys. Eng.,2022

4. Optimization of subcooled flow boiling in a vertical pipe by using artificial neural network and multi objective genetic algorithm;Alimoradi;Appl. Therm. Eng.,2017

5. Bubble behavior and nucleation site density in subcooled flow boiling using a novel method for simulating the microstructure of surface roughness;Alimoradi;Inpress KJChE,2022

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