Modeling and optimization of dynamic viscosity of oil-based nanofluids containing alumina particles and carbon nanotubes by response surface methodology (RSM)

被引:2
作者
Esfe, Mohammad Hemmat [1 ]
Motallebi, Sayyid Majid [2 ]
Toghraie, Davood [3 ]
机构
[1] Imam Hossein Univ, Dept Mech Engn, Tehran, Iran
[2] Imam Hossein Univ, Dept Chem Engn, Tehran, Iran
[3] Islamic Azad Univ, Dept Mech Engn, Khomeinishahr Branch, Khomeinishahr, Iran
关键词
Optimization; Dynamic Viscosity; Oil-based Nanofluids; Alumina; Carbon Nanotubes; RSM; THERMAL-CONDUCTIVITY; HEAT-TRANSFER; HYBRID NANOFLUID; WATER; PREDICTION; ALGORITHM; BEHAVIOR; SIZE;
D O I
10.1007/s11814-022-1156-6
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The dynamic viscosity of MWCNT-Al2O3 (40:60)/SAE50 nanofluid (NF) is investigated. NF viscosity modeling is also performed using the response surface methodology (RSM). Several different models are proposed, including modified and unmodified cubic, quartic and fifth models, and the best modeling is selected using the parameters R-2, Adjusted R-2, Predicted R-2 and Square root of the residual mean square (Std. Dev.). The results show that the fifth-order model has values of 0.9997, 0.9997, 0.9996 and 2.39 for R-2, Adjusted R-2, Predicted R-2 and Std. Dev. parameters, respectively, which indicates high accuracy of modeling. Using the perturbation diagram, it was found that among the parameters of temperature, solid volume fraction (phi) and shear rate (gamma), the temperature parameter has the greatest effect on the dynamic viscosity of NF. The trend of changes in viscosity also shows that phi and gamma have little effect on viscosity. Due to the importance of low viscosity in fluid flow and pumping, the optimal values of NF viscosity are presented, including dynamic viscosity equal to 108.092 cP in phi=0.063 and T=49.998 degrees C and gamma=7,866.7786 s(-1).
引用
收藏
页码:2800 / 2809
页数:10
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