Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods
By M. Hemmat Esfe, A. Naderi, Mohammad Kazem Akbari, Masoud Afrand, Arash Karimipour. Journal of Thermal Analysis and Calorimetry, 2015
138 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/0fcfa7a18b86ea5b9dbd9afe70b6df31759493f9
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
- Arash Karimipour
- Mohammad Reza Safaei
- Masoud Afrand
- Marjan Goodarzi
- Seyed Amin Bagherzadeh
- Davood Toghraie
- Hamed Eshgarf
- Mostafa Safdari Shadloo
In Mechanical Engineering
- Arash Karimipour
- Masoud Afrand
- Mohammad Reza Safaei
- Marjan Goodarzi
- Hamed Eshgarf
- Seyed Amin Bagherzadeh
- Davood Toghraie
- Mehdi Bahiraei
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].”
- Synthesized CuFe2O4/SiO2 nanocomposites added to water/EG: Evaluation of the thermophysical properties beside sensitivity analysis & EANN (2018, background): “Many works of using of artificial neural networks (ANNs) can be addressed to estimate the nanofluid thermo-physical properties [30,31,64,65].”