Estimation of thermal conductivity of Al2O3/water (40%)–ethylene glycol (60%) by artificial neural network and correlation using experimental data

By M. Hemmat Esfe, Wei‐Mon Yan, Masoud Afrand, M. Sarraf, Davood Toghraie, Mahidzal Bin Dahari. 2016

157 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5e8ea567ca49e81aeaf0aac377803636062171ce

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. Davood Toghraie
4. Arash Karimipour
5. Mohammad Kazem Akbari
6. Liu Yang
7. M. Hemmat Esfe
8. Hafiz Muhammad Ali

In Electrical and Electronic Engineering

1. Masoud Afrand
2. Davood Toghraie

In Mechanical Engineering

1. Masoud Afrand
2. Hamed Eshgarf
3. Davood Toghraie
4. Arash Karimipour
5. Mohammad Kazem Akbari
6. Liu Yang

Citations in the corpus

• An experimental study on rheological behavior of non-Newtonian hybrid nano-coolant for application in cooling and heating systems (2016, background): “These suspensions, called nanofluids, have been widely investigated in the recent decade [12–19].”