Development of new correlations for convective heat transfer and friction factor in turbulent regime for nanofluids
By Ravikanth S. Vajjha, D. Das, Devdatta Kulkarni. 2010
462 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/57b743ee86f19df9b634cc6a8f0488ba7b86a3d3
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
- A. Badarudin
- K. H. Solangi
- M. Azizian
- M. Sharifpur
- Samira Gharehkhani
- S. N. Kazi
- Rad Sadri
- M. Mehrabi
In Computational Mechanics
In Mechanical Engineering
Citations in the corpus
- A Review of Thermal Conductivity Models for Nanofluids (2015, background): “For example, in order to find nanoparticle thermal conductivity of aluminum oxide (Al2O3), the following data can be found in the literature: 46 W/m-K [105, 106], 40 W/m-K [107, 108], and 36 W/m-K [109]; for copper oxide (CuO) the data are 76.”
- A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids (2015, background): “[273] reported that pressure loss of nanofluids increased as volume concentration increased, and the increase of pressure loss for 10% Al2O3 nanofluid was approximately 4.”
- Experimental determination of turbulent forced convection heat transfer and friction factor with SiO2 nanofluid (2013, unknown): “[28]”
- Heat transfer enhancement using nanofluids in an automotive cooling system (2014, unknown): “The observed heat-transfer enhancements using TiO2–W and SiO2–W in the cooling system were in good agreement with the experimental data reported by [24,25] and correlate with that of [22] with a deviation of approximately 2–4%.”