Analysis of single phase, discrete and mixture models, in predicting nanofluid transport

By Ahmed Albojamal, Kambiz Vafai. 2017

154 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/9111c0d1bbe093a7641ff78115b7b335483ab7e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. J. Abolfazli Esfahani
2. Saman Rashidi
3. Omid Mahian
4. Nader Karimi
5. Hongbing Lu
6. Alexander A. Balandin
7. Masoud Afrand
8. Davood Toghraie

In Computational Mechanics

1. Saman Rashidi
2. Nader Karimi
3. J. Abolfazli Esfahani
4. Alexander A. Balandin
5. Omid Mahian

In Ocean Engineering

1. Saman Rashidi
2. Nader Karimi
3. J. Abolfazli Esfahani
4. Omid Mahian

Citations in the corpus

• Graphene related materials for thermal management (2019, methodology): “Both single-phase and two-phase models were developed for nanofluids consist of nano-sized additives and the base fluid [219, 220].”
• A concise review on the role of nanoparticles upon the productivity of solar desalination systems (2018, methodology): “A single-phase method can be employed to calculate the effective properties of nanofluid as Albojamal and Vafai [45] reported that this method is able to predict nanofluids properties within an acceptable range of accuracy.”