Thermal conductivity and viscosity models of metallic oxides nanofluids

By Omer A. Alawi, Nor Azwadi Che Sidik, H. Xian, Tung Hao Kean, S. N. Kazi. 2018

226 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/7920ea9a86651120ed24b593731443a9d844ff0a

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. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Roghayeh Ghasempour
4. Omid Mahian
5. Masoud Afrand
6. M. Hemmat Esfe

In Mechanical Engineering

1. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Roghayeh Ghasempour
4. Omid Mahian
5. M. Ramezanizadeh

In Renewable Energy, Sustainability and the Environment

1. M. Alhuyi Nazari
2. Mohammad Hossein Ahmadi
3. Omid Mahian

Citations in the corpus

• A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach (2018, background): “Most of the conducted studies on modeling the thermal conductivity of nanofluids have focused on the temperature and concentration of nanofluids [7, 64, 65].”