Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids
By Massimo Corcione. 2011
1,224 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/ff58157b0fa11e2a761bdc0a7af7e706e9616259
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
- Ali J. Chamkha
- R. Saidur
- Muneer A. Ismael
- D. Domiri Ganji
- I. Mahbubul
- Abdul Sattar Dogonchi
- M. Amalina
- Ishak Hashim
In Mechanical Engineering
- Ali J. Chamkha
- R. Saidur
- Muneer A. Ismael
- D. Domiri Ganji
- I. Mahbubul
- Abdul Sattar Dogonchi
- M. Amalina
- K. Leong
Citations in the corpus
- Thermophysical properties and heat transfer performance of Al2O3/R-134a nanorefrigerants (2013, methodology): “Other models such as Maxwell model [30], Yu–Choi model [9], Koo–Kleinstreuer model [31] and Corcione empirical correlation [32] were used to verify the results of nanorefrigerant thermal conductivity.”
- Mixed convection of Al2O3-water nanofluid in a double lid-driven square cavity with a solid inner insert using Buongiorno’s two-phase model (2018, background): “5 presents alternative comparisons regarding the enhancement in the thermal conductivity due to the addition of the Al2O3 nanoparticles with two different experimental results and the numerical results of Corcione et al. [37] as well.”