Computational insight to optimize nanofluidic thermal transport management in octagonal enclosure with heat generating element by envisioning novel physical factors
Asad Ullah, Noor Zeb Khan, S Bilal, Muhammad Bilal Riaz · 2026
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Description
Asad Ullah and co-authors present a 2026 computational study of cooling inside an eight-sided chamber that holds a heat-generating element, a geometry meant to mimic cramped electronics enclosures. The coolant is water seeded with copper nanoparticles, flowing through a porous medium under a magnetic field.
Finite element simulations solved the flow and heat equations, then a neural network was trained on the results to predict heat transfer quickly. Adding nanoparticles raised the average Nusselt number by up to 7.7 percent over plain water, and stronger buoyancy at higher Rayleigh numbers sharpened temperature and velocity gradients. The network reproduced the simulations almost perfectly. The authors offer the pairing as a design tool for compact cooling systems.
Catalog record
| CREATOR | Asad Ullah, Noor Zeb Khan, S Bilal, Muhammad Bilal Riaz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |