Latest developments on the viscosity of nanofluids
By I. Mahbubul, R. Saidur, M. Amalina. 2012
604 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/0d58c6cdefb4b602423d2da040279987c44b9733
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
- M. Hemmat Esfe
- R. Saidur
- Somchai Wongwises
- I. Mahbubul
- Masoud Afrand
- R. Mamat
- Marjan Goodarzi
In Mechanical Engineering
- Arash Karimipour
- M. Hemmat Esfe
- R. Saidur
- Somchai Wongwises
- I. Mahbubul
- R. Mamat
- Marjan Goodarzi
- Masoud Afrand
In Renewable Energy, Sustainability and the Environment
- R. Saidur
- Somchai Wongwises
- M. Hemmat Esfe
- K. Suganthi
- K. S. Rajan
- V. L. Vinodhan
- Arash Karimipour
- I. Mahbubul
Citations in the corpus
- Effect of nanoparticle shape on the heat transfer and thermodynamic performance of a shell and tube heat exchanger (2013, background): “Changing the boundary conditions and flow geometry [1–4], as well as enhancing the thermal conductivity of conventional base fluid are mooted as passive ways to improve the convective heat transfer of these devices [5].”
- A brief review on viscosity of nanofluids (2014, neutral): “5 Change in viscosity with rise in volume fraction [2] 116 Int Nano Lett (2014) 4:109–120”
- Energy, economic and environmental analysis of metal oxides nanofluid for flat-plate solar collector (2013, background): “Therefore, a lot of studies related to energy efficiency and renewable energy have been conducted to address this issue [1–42].”
- Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods (2015, background): “A lot of different studies have been conducted about the issue [8–10].”
- A novel comprehensive experimental study concerned synthesizes and prepare liquid paraffin-Fe3O4 mixture to develop models for both thermal conductivity & viscosity: A new approach of GMDH type of neural network (2019, background): “Previous researches have shown that conventional approaches cannot estimate the nanofluid thermophysical properties [68,69].”
- Radiation effects on Marangoni convection flow and heat transfer in pseudo-plastic non-Newtonian nanofluids with variable thermal conductivity (2014, background): “analyzed different characteristics of the viscosity of nanofluids including nanofluid preparation methods, temperature particle size and shape and volume fraction effects [5].”