Artificial Neural Networking Magnification for Heat Transfer Coefficient in Convective Non-Newtonian Fluid with Thermal Radiations and Heat Generation Effects

In this study, the Casson fluid flow through an inclined, stretching cylindrical surface is considered. The flow field is manifested with pertinent physical effects, namely heat generation, viscous dissipation, thermal radiations, stagnation point flow, variable thermal conductivity, a magnetic fiel...

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Published inMathematics (Basel) Vol. 11; no. 2; p. 342
Main Authors Rehman, Khalil Ur, Shatanawi, Wasfi, Çolak, Andaç Batur
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2023
Subjects
artificial neural networking
Artificial neural networks
casson fluid
Chemical reactions
Energy storage
Fluid dynamics
Fluid flow
Food science
Friction
Heat conductivity
Heat generation
Heat transfer
Heat transfer coefficients
Microorganisms
mixed convection
Nanoparticles
Newtonian fluids
Non Newtonian fluids
nusselt number
Ordinary differential equations
Parameters
Partial differential equations
Porous materials
Radiation
Reynolds number
Stagnation point
Temperature
Temperature dependence
Thermal conductivity
Thermal energy
thermal radiation
Transfer functions
Velocity
Viscosity
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Summary:In this study, the Casson fluid flow through an inclined, stretching cylindrical surface is considered. The flow field is manifested with pertinent physical effects, namely heat generation, viscous dissipation, thermal radiations, stagnation point flow, variable thermal conductivity, a magnetic field, and mixed convection. In addition, the flow field is formulated mathematically. The shooting scheme is used to obtain the numerical data of the heat transfer coefficient at the cylindrical surface. Further, for comparative analysis, three different thermal flow regimes are considered. In order to obtain a better estimation of the heat transfer coefficient, three corresponding artificial neural networks (ANN) models were constructed by utilizing Tan-Sig and Purelin transfer functions. It was observed that the heat transfer rate exhibits an inciting nature for the Eckert and Prandtl numbers, curvature, and heat generation parameters, while the Casson fluid parameter, temperature-dependent thermal conductivity, and radiation parameter behave oppositely. The present ANN estimation will be helpful for studies related to thermal energy storage that have Nusselt number involvements.
ISSN:2227-7390
2227-7390
DOI:10.3390/math11020342