Investigating the Behavior of SiO2 (90%)-MWCNT (10%)/SAE50 Hybrid Nanofluid and Modeling its Viscosity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06158-6.pdf
Reference31 articles.
1. Hemmat Esfe, M.; Esforjani, S.S.M.; Akbari, M.; Karimipour, A.: Mixed-convection flow in a lid-driven square cavity filled with a nanofluid with variable properties: effect of the nanoparticle diameter and of the position of a hot obstacle. Heat Trans. Res. 45(6), 563–578 (2014). https://doi.org/10.1615/HeatTransRes.2014007271
2. Serebryakova, M.A.; Dimov, S.V.; Bardakhanov, S.P.; Novopashin, S.A.: Thermal conductivity, viscosity and rheology of a suspension based on Al2O3 nanoparticles and mixture of 90% ethylene glycol and 10% water. Int. J. Heat Mass Transf. 83, 187–191 (2015). https://doi.org/10.1016/j.ijheatmasstransfer.2014.12.002
3. Saboori, R.; Sabbaghi, S.; Barahoei, M.; Sahooli, M.: Improvement of thermal conductivity properties of drilling fluid by CuO nanofluid. Transp Phenom Nano Micro Scales 5(2), 97–101 (2017). https://doi.org/10.7508/tpnms.2017.02.003
4. Hosseinian Naeini, A.; Baghbani Arani, J.; Narooei, A.; Aghayari, R.; Maddah, H.: Nanofluid thermal conductivity prediction model based on artificial neural network. Transp. Phenom Nano Micro Scales 4(2), 41–46 (2016). https://doi.org/10.7508/tpnms.2016.02.005
5. Azimi, S.S.; Kalbasi, M.: Numerical study of dynamic thermal conductivity of nanofluid in the forced convective heat transfer. Appl. Math. Model. 38(4), 1373–1384 (2014)
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