Improving energy storage and performance through implementing artificial neural network modeling to forecast heat transfer and entropy generation within a wavy‐wall microchannel under discontinuous‐boundary condition–hybrid nanofluid utilization

2021 ◽  
Author(s):  
Nidal H. Abu‐Hamdeh
Keyword(s):  
Neural Network ◽  
Heat Transfer ◽  
Boundary Condition ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Hybrid Nanofluid ◽  
Wavy Wall ◽  
Artificial Neural Network Modeling ◽  
Discontinuous Boundary ◽  
And Performance

scholarly journals Heat induction in two-dimensional graphene–Fe3O4 nanohybrids for magnetic hyperthermia applications with artificial neural network modeling

RSC Advances ◽  
2021 ◽  
Vol 11 (35) ◽  
pp. 21702-21715
Author(s):  
M. S. Dar ◽  
Khush Bakhat Akram ◽  
Ayesha Sohail ◽  
Fatima Arif ◽  
Fatemeh Zabihi ◽  
...  
Keyword(s):  
Neural Network ◽  
Magnetic Field ◽  
Artificial Neural Network ◽  
Network Modeling ◽  
Magnetic Hyperthermia ◽  
Alternating Magnetic Field ◽  
Neural Network Modeling ◽  
Two Dimensional ◽  
Artificial Neural Network Modeling ◽  
Heat Induction

Synthesis of Fe3O4–graphene (FG) nanohybrids and magnetothermal measurements of FxG100–x (x = 0, 25, 45, 65, 75, 85, 100) nanohybrids (25 mg each) at a 633 kHz alternating magnetic field of strength 9.1 mT.

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