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Computational insight to optimize nanofluidic thermal transport management in octagonal enclosure with heat generating element by envisioning novel physical factors

Abstract This study investigates the production of entropy and thermal transition phenomena in MHD nanoliquid movement via a porous octagonal enclosure with a central obstacle and establishes an ANN model for predicting the average Nusselt number (Nuavg) based on FEM simulations. The equations gover...

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Principais autores: Asad Ullah, Noor Zeb Khan, S. Bilal, Muhammad Bilal Riaz
פורמט: Artigo
שפה:Inglês
יצא לאור: Springer 2026-05-01
סדרה:Discover Nano
נושאים:
Nanofluid flow
Octagonal enclosure
Darcy–Forchheimer model
Entropy generation
Artificial neural network (ANN)
גישה מקוונת:https://doi.org/10.1186/s11671-026-04596-5
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