Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
An experimental determination and accurate prediction of dynamic viscosity of MWCNT(%40)-SiO2(%60)/5W50 nano-lubricant
Ist Teil von
Journal of molecular liquids, 2018-06, Vol.259, p.227-237
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
In the current research, dynamic viscosity of MWCNT(%40)-SiO2(%60)/5W50 nano-lubricant were investigated experimentally. Dynamic viscosity of Nano-lubricant was measured at temperature range of 5°C–55°C, solid volume fraction between 0% and 1%, and fluid shear rate from 50 to 800rpm. Study on rheological behavior of nanofluid against shear stress showed that the nanofluid has non-Newtonian behavior. For presenting a relation between relative dynamic viscosity and independent parameters two methods were employed that are: artificial neural network and mathematical correlation. Results showed that, proposed correlation can estimate the value of relative dynamic viscosity with an acceptable accuracy. As an example the coefficient of determination (R-squared) was 0.9914, which represents a desirable value. An artificial neural network (ANN) for relative viscosity based on obtained data using the multi-layer perceptron (MLP) algorithm was designed. The results showed that the neural network with the appropriate instruction can estimate accurate value for dynamic viscosity.
•Experimental investigation of rheological behavior of SiO2/5W50 nano-lubricant.•Nanofluid has Bingham shear thinning behavior and it turns at high temperature•Based on experimental data of viscosity, a new correlation is suggested.•Sensitivity of viscosity is discussed at different temperatures and concentrations.•An ANN multilayer perceptron algorithm is proposed to model viscosity of nanofluid