A titanium oxide- and silver-based hybrid nanofluid flow between two Riga walls that converge and diverge through a machine-learning approach

The silver (Ag) and titanium oxide (TiO ) nanoparticle combination is responsible for the uniform heat distribution, which enhances the heat transfer of the hybrid nanofluid (HNF). The HNFs are capable of enhancing heat transfer, which has significant applications in energy resources and heat exchan...

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Vydáno v:	Nanotechnology reviews (Berlin) Ročník 14; číslo 1; s. 2371 - 9
Hlavní autoři:	Alqarni, Manal M., Khan, Rajwali, Alghamdi, Wajdi, Aljohani, Mashael A., Gul, Taza, Mahmoud, Emad E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin De Gruyter 01.01.2025 Walter de Gruyter GmbH
Témata:	Ag + TiO ag + tio2 nanomaterials artificial neural network, control volume finite element method Divergence Energy resources Energy sources Errors Finite element method Fluid flow Heat distribution Heat exchangers Heat transfer Learning algorithms Machine learning Nanofluids nanomaterials Nanoparticles Neural networks Nonlinear systems Riga walls, converge and diverge channel Rigid walls Silver Titanium dioxide Titanium oxide Titanium oxides
ISSN:	2191-9097, 2191-9089, 2191-9097
On-line přístup:	Získat plný text
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