Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm

The low heat efficiency of base fluids is a key problem among investigators. To address this issue, investigators utilize tiny-sized (1–100 nm) metal solid material inside the base fluids to boost thermal performance of base solvents. A numerical investigation on the thermal application functioning...

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Vydané v:	European physical journal plus Ročník 138; číslo 3; s. 213
Hlavní autori:	Shafiq, Anum, Çolak, Andaç Batur, Sindhu, Tabassum Naz
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 07.03.2023 Springer Nature B.V
Predmet:	Algorithms Applied and Technical Physics Artificial intelligence Artificial neural networks Atomic Biot number Boundary conditions Chemical reactions Coefficient of friction Complex Systems Condensed Matter Physics Datasets Entropy Ethylene glycol Fluid flow Friction Graphene Heat Investigations Machine learning Mathematical and Computational Physics Molecular Nanofluids Nanomaterials Nanoparticles Oil recovery Optical and Plasma Physics Physics Physics and Astronomy Radiation Regular Article Runge-Kutta method Skin friction Theoretical Thermal radiation
ISSN:	2190-5444, 2190-5444
On-line prístup:	Získať plný text
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