Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network
In this paper, at first, a new correlation was proposed to predict the relative viscosity of MWCNTs-SiO2/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....
Saved in:
Main Authors: | Afrand, M., Nazari Najafabadi, K., Sina, N., Safaei, M.R., Kherbeet, A.Sh., Wongwises, S., Dahari, M. |
---|---|
Format: | Article |
Published: |
Elsevier
2016
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/18078/ http://dx.doi.org/10.1016/j.icheatmasstransfer.2016.05.023 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting the viscosity of multi-walled carbon nanotubes/water nanofluid by developing an optimal artificial neural network based on experimental data
by: Afrand, M., et al.
Published: (2016) -
Viscosity of nanofluids: A review of recent experimental studies
by: Bashirnezhad, K., et al.
Published: (2016) -
Assessment of thermal conductivity enhancement of nano-antifreeze containing single-walled carbon nanotubes: Optimal artificial neural network and curve-fitting
by: Moradikazerouni, Alireza, et al.
Published: (2019) -
Performance of polymeric viscosity improver as bio- lubricant additives
by: Dandan, M. A., et al.
Published: (2019) -
Lubricant viscosity: evaluation between existing and alternative lubricant in metal forming process
by: Mohd. Ahyan, Nurul Aini, et al.
Published: (2015)