Artificial neural network analysis of Boger nanofluid natural convection with thermal radiation in a triangular cavity containing a semi-circular obstacle
Natural convection patterns are influenced by thermal radiation in the triangular cavity.
The artificial neural network model predicts heat transfer rates accurately, with efficiency improving by 30%.
This analysis explores the thermal dynamics in a geometric cavity model incorporating a semi-circular obstacle.
Findings highlight the complex interactions between fluid types and thermal radiation under varying conditions.
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Artificial neural network analysis of Boger nanofluid natural convection with thermal radiation in a triangular cavity containing a semi-circular obstacle | Synapse