Optimizing microelectronic module cooling under magnetic fields through hybrid nanofluid: a computational fluid dynamics-artificial neural network approach-Reference-Cited by-同舟云学术

Optimizing microelectronic module cooling under magnetic fields through hybrid nanofluid: a computational fluid dynamics-artificial neural network approach

Published:2024-04-29 Issue:15 Volume:149 Page:8321-8344
ISSN:1388-6150
Container-title:Journal of Thermal Analysis and Calorimetry
language:en
Short-container-title:J Therm Anal Calorim

Author:

Salehin Ali,Mirabdolah Lavasani Arash^ORCID,Nimafar Mohammad,Salehi Gholamreza,Vahabi Mohammad

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10973-024-13123-6.pdf

Reference55 articles.

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3. Levin ML, Miller MA, Maxwell’s “treatise on electricity and magnetism.” Soviet Physics - Uspekhi. 1981; https://doi.org/10.1070/PU1981v024n11ABEH004793

4. Shah RK, Khandekar S. Exploring ferrofluids for heat transfer augmentation. J Magn Magn Mater. 2019. https://doi.org/10.1016/j.jmmm.2018.11.034.

5. Younes H, Mao M, Sohel Murshed SM, Lou D, Hong H, Peterson GP. Nanofluids: key parameters to enhance thermal conductivity and its applications. Appl Therm Eng. 2022. https://doi.org/10.1016/j.applthermaleng.2022.118202.

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