Predicting the viscosity of multi-walled carbon nanotubes/water nanofluid by developing an optimal artificial neural network based on experimental data

• Main Authors: Afrand, M., Ahmadi Nadooshan, A., Hassani, M., Yarmand, H., Dahari, M.
• Format: Article
• Published: Elsevier 2016
• Subjects: TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/18077/; http://dx.doi.org/10.1016/j.icheatmasstransfer.2016.07.008

Regarding the viscosity of the fluids which is an imperative parameter for calculating the required pumping power and convective heat transfer, based on experimental data, an optimal artificial neural network was designed to predict the relative viscosity of multi-walled carbon nanotubes/water nanof...