Prediction of unsteady mixed convection over circular cylinder in the presence of nanofluid- A comparative study of ANN and GEP
Dublin Core
Title
Prediction of unsteady mixed convection over circular cylinder in the presence of nanofluid- A comparative study of ANN and GEP
Subject
Mixed forced convection
Circular cylinder
Nanofluid
Neural network
Gene Expression
Description
Heat transfer due to forced convection of copper water based nanofluid in the presence of buoyancy has been predicted by the Artificial Neural network (ANN) Gene Expression Programming (GEP). The present nanofluid is formed by mixing copper nano particles in water and the volume fractions are considered here are 0% to 15% and the Reynolds number are varying from 80 to 180. The buoyancy effect is done by introducing Richardson number (Ri) as 1 and -1. The back propagation algorithm is used to train the network. The present ANN and GEP models are trained by the input and output data which has been obtained from the numerical simulation, performed in finite volume based Computational Fluid Dynamics (CFD) commercial software Fluent. The numerical simulation based results are compared with the back propagation based ANN and GEP results. It is found that the mixed convection heat transfer of water based nanofluid can be predicted correctly by both ANN and GEP but GEP is found more efficient. It is also observed that the back propagation ANN and GEP both can predict the heat transfer characteristics of nanofluid very quickly compared to standard CFD method.
Creator
Dey, Parsenjit
Sarkar, Abhijit
Das, Ajoy Kumar
Source
Journal of Naval Architecture and Marine Engineering; Vol. 12 No. 1 (2015); 57-71
2070-8998
1813-8535
Publisher
Association of Naval Architects and Marine Engineers
Date
2015-06-30
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Numerical
Identifier
Citation
Parsenjit Dey, Abhijit Sarkar and Ajoy Das Kumar, Prediction of unsteady mixed convection over circular cylinder in the presence of nanofluid- A comparative study of ANN and GEP, Association of Naval Architects and Marine Engineers, 2015, accessed November 17, 2024, https://igi.indrastra.com/items/show/3259