Thermal Conductivity of Nanofluids: A Review on Prediction Models, Controversies and Challenges

Thermal Conductivity of Nanofluids: A Review on Prediction Models, Controversies and Challenges

In recent years, the nanofluids (NFs) have become the main candidates for improving or even replacing traditional heat transfer fluids. The possibility of NFs to be used in various technological applications, from renewable energies to nanomedicine, has made NFs and their thermal conductivity one of...

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Bibliographic Details
Main Authors: Inês Gonçalves, Reinaldo Souza, Gonçalo Coutinho, João Miranda, Ana Moita, José Eduardo Pereira, António Moreira, Rui Lima
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
nanofluids
nanoparticles
thermal conductivity
heat transfer
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/6/2525

Internet

https://www.mdpi.com/2076-3417/11/6/2525

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