Thermal conductivity modeling of nanofluids with ZnO particles by using approaches based on artificial neural network and MARS
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Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/content/pdf/10.1007/s10973-020-09373-9.pdf
Reference62 articles.
1. Shadloo MS, Mahian O. Recent advances in heat and mass transfer. J Therm Anal Calorim. 2019;135:1611–5. https://doi.org/10.1007/s10973-018-7718-5.
2. Gholamalipour P, Siavashi M, Doranehgard MH. Eccentricity effects of heat source inside a porous annulus on the natural convection heat transfer and entropy generation of Cu-water nanofluid. Int Commun Heat Mass Transf. 2019;109:104367. https://doi.org/10.1016/j.icheatmasstransfer.2019.104367.
3. Siavashi M, Karimi K, Xiong Q, Doranehgard MH. Numerical analysis of mixed convection of two-phase non-Newtonian nanofluid flow inside a partially porous square enclosure with a rotating cylinder. J Therm Anal Calorim. 2019;137:267–87. https://doi.org/10.1007/s10973-018-7945-9.
4. Miri Joibary SM, Siavashi M. Effect of Reynolds asymmetry and use of porous media in the counterflow double-pipe heat exchanger for passive heat transfer enhancement. J Therm Anal Calorim. 2019. https://doi.org/10.1007/s10973-019-08991-2.
5. Rashidi MM, Nasiri M, Shadloo MS, Yang Z. Entropy generation in a circular tube heat exchanger using nanofluids: effects of different modeling approaches. Heat Transf Eng. 2017;38:853–66. https://doi.org/10.1080/01457632.2016.1211916.
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