Applicability of connectionist methods to predict dynamic viscosity of silver/water nanofluid by using ANN-MLP, MARS and MPR algorithms

Applicability of connectionist methods to predict dynamic viscosity of silver/water nanofluid by using ANN-MLP, MARS and MPR algorithms

Dynamic viscosity considerably affects the heat transfer and flow of fluids. Due to improved thermophysical properties of fluids containing nanostructures, these types of fluids are widely employed in thermal mediums. The nanofluid's dynamic viscosity relies on different variables including siz...

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Bibliographic Details
Main Authors: Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahmood Farzaneh-Gord, Ravindra D. Jilte, Ravinder Kumar, Kwok-wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
nanofluid
dynamic viscosity
artificial neural network
concentration
multivariate adaptive regression splines (mars)
multivariable polynomial regression (mpr)
Online Access:http://dx.doi.org/10.1080/19942060.2019.1571442

Internet

http://dx.doi.org/10.1080/19942060.2019.1571442

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