Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks
By M. Vafaei, Masoud Afrand, Nima Sina, Rasool Kalbasi, F. Sourani, H. Teimouri. 2017
240 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/e0c76bca1b0c5bdacb6cf0cc250dc62c0f378b46
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In Biomedical Engineering
In Mechanical Engineering
Citations in the corpus
- Thermal conductivity variation and heat generation effects on magneto-hybrid nanofluid flow in a porous medium with slip condition (2020, background): “6 volume and 25–50°C of MgO–MWCNTs/ethylene glycol mixture nanofluid andmultiple researchmethods are estimated by [19].”