A Review of Artificial Intelligence Methods in Predicting Thermophysical Properties of Nanofluids for Heat Transfer Applications

A Review of Artificial Intelligence Methods in Predicting Thermophysical Properties of Nanofluids for Heat Transfer Applications

This present review explores the application of artificial intelligence (AI) methods in analysing the prediction of thermophysical properties of nanofluids. Nanofluids, colloidal solutions comprising nanoparticles dispersed in various base fluids, have received significant attention for their enhanc...

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Bibliographic Details
Main Authors: Ankan Basu, Aritra Saha, Sumanta Banerjee, Prokash C. Roy, Balaram Kundu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
nanofluid
machine learning
heat transfer augmentation
viscosity
thermal conductivity
specific heat capacity
Online Access:https://www.mdpi.com/1996-1073/17/6/1351

Internet

https://www.mdpi.com/1996-1073/17/6/1351

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