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Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network.
- Source :
-
International Communications in Heat & Mass Transfer . Aug2016, Vol. 76, p209-214. 6p. - Publication Year :
- 2016
-
Abstract
- In this paper, at first, a new correlation was proposed to predict the relative viscosity of MWCNTs-SiO 2 /AE40 nano-lubricant using experimental data. Then, considering minimum prediction error, an optimal artificial neural network was designed to predict the relative viscosity of the nano-lubricant. Forty-eight experimental data were used to feed the model. The data set was derived to training, validation and test sets which contained 70%, 15% and 15% of data points, respectively. The correlation outputs showed that there is a deviation margin of 4%. The results obtained from optimal artificial neural network presented a deviation margin of 1.5%. It can be found from comparisons that the optimal artificial neural network model is more accurate compared to empirical correlation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07351933
- Volume :
- 76
- Database :
- Academic Search Index
- Journal :
- International Communications in Heat & Mass Transfer
- Publication Type :
- Academic Journal
- Accession number :
- 116781893
- Full Text :
- https://doi.org/10.1016/j.icheatmasstransfer.2016.05.023