Analysis of thermal performance and ultrasonic wave power variation on heat transfer of heat exchanger in the presence of nanofluid using the artificial neural network: experimental study and model fitting-Reference-Cited by-同舟云学术

Analysis of thermal performance and ultrasonic wave power variation on heat transfer of heat exchanger in the presence of nanofluid using the artificial neural network: experimental study and model fitting

Published:2022-12-12 Issue: Volume: Page:
ISSN:1388-6150
Container-title:Journal of Thermal Analysis and Calorimetry
language:en
Short-container-title:J Therm Anal Calorim

Author:

Azimy Hamidreza,Azimy Noushin,Meghdadi Isfahani Amir Homayoon^ORCID,Bagherzadeh Seyed Amin,Farahnakian Masoud

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s10973-022-11827-1.pdf

Reference34 articles.

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3. Hassen W, Kolsi L, Mohammed HA, Ghachem K, Sheikholeslami M, Almeshaal MA. Transient electrohydrodynamic convective flow and heat transfer of MWCNT: dielectric nanofluid in a heated enclosure. Phys Lett A. 2020;384(28):126736. https://doi.org/10.1016/j.physleta.2020.126736.

4. Masoud Hosseini S, Safaei MR, Estellé P, HadiJafarnia S. Heat transfer of water-based carbon nanotube nanofluids in the shell and tube cooling heat exchangers of the gasoline product of the residue fluid catalytic cracking unit. J Therm Anal Calorim. 2020;140(1):351–62. https://doi.org/10.1007/s10973-019-08813-5.

5. Moradi A, Toghraie D, Isfahani AHM, Hosseinian A. An experimental study on MWCNT–water nanofluids flow and heat transfer in double-pipe heat exchanger using porous media. J Therm Anal Calorim. 2019;137(5):1797–807. https://doi.org/10.1007/s10973-019-08076-0.

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