Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems-Reference-Cited by-同舟云学术

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Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems

Published:2023-10-12 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE)
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Author:

Snoussi Lotfi¹,Fakhfakh Olfa²,Khedher Mohamed Ibn³

Affiliation:

1. University of Carthage,Thermal Processes Laboratory(LPT), Research and Technology Center of Energy (CRTEn),Hammam-Lif,Tunisia,2050

2. University of Sousse,ESSTHS, MARS Research Laboratory,Hammam Sousse,Tunisia,4011

3. IRT-SystemX,Palaiseau,France,91120

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346234/10346249/10346403.pdf?arnumber=10346403

Reference36 articles.

1. Enhancing Thermal Conductivity of Fluidswith Nanoparticles;Choi;ASME International Mechanical Engineering Congress & Exposition,1995

2. Natural Convection Heat Transfer in a Nanofluid Filled U-Shaped Enclosures: Numerical Investigations

3. Rheological and thermophysical properties of hybrid nanofluids and their application in flat-plate solar collectors: a comprehensive review

4. Recent advances in using nanofluids in renewable energy systems and the environmental implications of their uptake

5. Thermal Management of Microelectronic Devices Using Nanofluid with Metal foam Heat Sink

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