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This research article investigates the thermophysical properties of magnetohydrodynamic flow in a lid-driven arc-shaped cavity with a rotating cylinder, utilizing a water-based Al2O3 nanofluid. The study employs an artificial neural network (ANN) model to predict the average heat transfer rate, revealing that variations in the Hartmann number significantly affect fluid velocity and temperature distribution. The findings indicate that the ANN model achieves a high accuracy rate of 99%, with the highest avera

Author
sayedanawar84
Language
EN

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