Performance evaluation of a U-shaped heat exchanger containing hybrid Cu/CNTs nanofluids: experimental data and modeling using regression and artificial neural network-Reference-Cited by-同舟云学术

Performance evaluation of a U-shaped heat exchanger containing hybrid Cu/CNTs nanofluids: experimental data and modeling using regression and artificial neural network

Published:2020-06-08 Issue:2 Volume:143 Page:1503-1521
ISSN:1388-6150
Container-title:Journal of Thermal Analysis and Calorimetry
language:en
Short-container-title:J Therm Anal Calorim

Author:

Maddah Heydar,Ghazvini Mahyar,Ahmadi Mohammad Hossein,Bui Dieu Tien,Filho Enio Pedone Bandarr

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10973-020-09882-7.pdf

Reference64 articles.

1. Ghazvini M, Maddah H, Peymanfar R, Ahmadi MH, Kumar R. Experimental evaluation and artificial neural network modeling of thermal conductivity of water based nanofluid containing magnetic copper nanoparticles. Phys A Stat Mech Appl. 2020. https://doi.org/10.1016/j.physa.2019.124127.

2. Ahmadi MH, Ghazvini M, Maddah H, Kahani M, Pourfarhang S, Pourfarhang A, et al. Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of artificial neural networks analysis integrated with genetic algorithm. Phys A Stat Mech Appl. 2020. https://doi.org/10.1016/j.physa.2019.124008.

3. Tayebi T, Chamkha AJ, Djezzar M. Natural convection of CNT-water nanofluid in an annular space between confocal elliptic cylinders with constant heat flux on inner wall. Sci Iran. 2019;26:2770–83. https://doi.org/10.24200/sci.2018.21069.

4. Chamkha AJ, Tayebi T. Entropy generation analysis due to MHD natural convection flow in a cavity occupied with hybrid nanofluid and equipped with a conducting hollow cylinder. J Therm Anal Calorim. 2020;139:2165–79.

5. Benkhedda M, Boufendi T, Tayebi T, Chamkha AJ. Convective heat transfer performance of hybrid nanofluid in a horizontal pipe considering nanoparticles shapes effect. J Therm Anal Calorim. 2020;140:411–25.

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