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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Hlavní autoři:	Asad Ullah, Noor Zeb Khan, S. Bilal, Muhammad Bilal Riaz
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-05-01
Edice:	Discover Nano
Témata:	Nanofluid flow Octagonal enclosure Darcy–Forchheimer model Entropy generation Artificial neural network (ANN)
On-line přístup:	https://doi.org/10.1186/s11671-026-04596-5
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