Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation☆

By M. H. Esfe, Somchai Wongwises, A. Naderi, Amin Asadi, Mohammad Reza Safaei, Hossein Rostamian, Mahidzal Bin Dahari, Arash Karimipour. 2015

409 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/28431f71073cf9623f3f3534dfd4ac4ce5e9d7dc

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. Masoud Afrand
2. Hamed Eshgarf
3. Amir H. G. Isfahani
4. Ebrahim Dardan
5. Davood Toghraie
6. Arash Karimipour
7. Mohammad Kazem Akbari
8. Liu Yang

In Mechanical Engineering

1. Masoud Afrand
2. Hamed Eshgarf
3. Amir H. G. Isfahani
4. Ebrahim Dardan
5. Davood Toghraie
6. Arash Karimipour
7. Mohammad Kazem Akbari
8. Liu Yang

In Renewable Energy, Sustainability and the Environment

1. Masoud Afrand
2. Hamed Eshgarf

Citations in the corpus

• Effect of suspending hybrid nano-additives on rheological behavior of engine oil and pumping power (2016, background): “[36] experimentally investigated the thermal conductivity of hybrid nanofluids by dispersing Cu and TiO2 nanoparticles in a binary mixture of water/EG (60:40).”
• An experimental study on rheological behavior of non-Newtonian hybrid nano-coolant for application in cooling and heating systems (2016, background): “[26] dispersed Cu and TiO2 nanoparticles in a mixture of water/EG (60:40) to enhance the thermal conductivity of the coolant.”