Cargando…
Regression analysis for thermal properties of Al(2)O(3)/H(2)O nanofluid using machine learning techniques
Nanofluids possess higher thermal properties than the other conventional base fluids. Many investigators suggested that the nanofluids have the potential to apply in various engineering fields. In real time situation it is challenging to determine the thermal conductivity of nanofluids with accuracy...
Autores principales: | Mukesh Kumar, P.C., Kavitha, R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292925/ https://www.ncbi.nlm.nih.gov/pubmed/32551375 http://dx.doi.org/10.1016/j.heliyon.2020.e03966 |
Ejemplares similares
-
An Investigation on the Thermal Effusivity of Nanofluids Containing Al(2)O(3) and CuO Nanoparticles
por: Noroozi, Monir, et al.
Publicado: (2012) -
Entropy Generation in Cu-Al(2)O(3)-H(2)O Hybrid Nanofluid Flow over a Curved Surface with Thermal Dissipation
por: Afridi, Muhammad Idrees, et al.
Publicado: (2019) -
Thermal efficiency in hybrid (Al(2)O(3)-CuO/H(2)O) and tri-hybrid (Al(2)O(3)-CuO-Cu/H(2)O) nanofluids between converging/diverging channel with viscous dissipation function: Numerical analysis
por: Adnan,, et al.
Publicado: (2022) -
Natural convection heat transfer in corrugated annuli with H(2)O-Al(2)O(3) nanofluid
por: Aljabair, Sattar, et al.
Publicado: (2020) -
Thermal conductivity and viscosity measurements of ethylene glycol-based Al(2)O(3 )nanofluids
por: Pastoriza-Gallego, María José, et al.
Publicado: (2011)