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Machine learning analysis of thermophysical and thermohydraulic properties in ethylene glycol- and glycerol-based SiO2 nanofluids

Abstract The study investigates the heat transfer and friction factor properties of ethylene glycol and glycerol-based silicon dioxide nanofluids flowing in a circular tube under continuous heat flux circumstances. This study tackles the important requirement for effective thermal management in area...

Celý popis

Uloženo v:
Hlavní autoři: Suleiman Akilu, K. V. Sharma, Aklilu Tesfamichael Baheta, Praveen Kumar Kanti, Prabhu Paramasivam
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2024-06-01
Edice:Scientific Reports
Témata:
SiO2
Glycerol
Ethylene glycol
Nanofluid
Heat transfer
Energy management
On-line přístup:https://doi.org/10.1038/s41598-024-65411-8
Tagy: Přidat tag
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