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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Bibliographic Details
Published in:	Nanotechnology reviews (Berlin) Vol. 14; no. 1; pp. 2371 - 9
Main Authors:	Alqarni, Manal M., Khan, Rajwali, Alghamdi, Wajdi, Aljohani, Mashael A., Gul, Taza, Mahmoud, Emad E.
Format:	Journal Article
Language:	English
Published:	Berlin De Gruyter 01.01.2025 Walter de Gruyter GmbH
Subjects:	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
Online Access:	Get full text
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