Artificial neural network modeling of mixed convection viscoelastic hybrid nanofluid across a circular cylinder with radiation effect: Case study

Hussain, Syed M.; Mahat, Rahimah; Katbar, Nek Muhammad; Ullah, Imran; Varun Kumar, R.S.; Prasannakumara, B.C.; Jamshed, Wasim; Eid, Mohamed R.; Khan, Waqar A.; Usman,; Ibrahim, Rabha W.; El Din, Sayed M.

doi:10.1016/j.csite.2023.103487

Cited by 31 publications

(3 citation statements)

References 35 publications

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“…The influence of mixed convection on the stream of liquid past a stretchable cylinder was examined by Song et al [3]. Hussain et al [4] probed the flow of hybrid NL through a circular cylinder using the neural network approach. The thermal transport scrutiny in a fluid stream past coaxial cylinder using collocation approach was elucidated by Madhu et al [5].…”

Section: Introductionmentioning

confidence: 99%

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

R S,

Sharma

et al. 2024

Phys. Scr.

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The consequence of exothermic/endothermic chemical reactions and Arrhenius activation on the heat and mass transport of the liquid flow past a cylinder in the incidence of a magnetic dipole is considered in the current investigation. Magnetic dipoles are used in medical applications such as magnotherapy and spectroscopy, to produce static magnetic fields. Scientists and engineers can improve the effectiveness of chemical reactions or heat transfer operations by analyzing the impact of reactions on flow and building systems with optimized flows. The modelled equations are converted into non-dimensional ordinary differential equations (ODEs) by using similarity variables. The resultant equations are solved by employing the physics-informed neural network (PINN) technique. Additionally, the comparison of PINN with the numerical method Runge Kutta Fehlberg's fourth-fifth order (RKF-45) is studied. The effects of different parameters on the temperature, concentration, and velocity profiles for endothermic/exothermic instances are shown graphically. The thermal, velocity, and concentration profiles get stronger as the curvature parameter values increase for both endothermic and exothermic cases. The influence of activation energy parameters, chemical reaction parameters, and endothermic/exothermic reaction parameters on the thermal and concentration is also depicted.

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Section: Introductionmentioning

confidence: 99%

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

R S,

Sharma

et al. 2024

Phys. Scr.

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“…Using the numerical simulation, Albalawi et al [17] probed the liquid flow through the coaxial cylinder. The heat transport and nanofluid flow via a circular cylinder using the neural network approach was delineated by Hussain et al [18]. The fractal model for capillary flow via a single tortuous capillary with roughened surfaces in fibrous permeable media was investigated by Xiao et al [19].…”

Section: Introductionmentioning

confidence: 99%

Impact of chemical reactions that generate and absorb heat in the flow induced by a squeezing porous slider

Alkahtani,

Punith Gowda,

Alzaid

et al. 2024

Phys. Scr.

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The three-dimensional flow of a viscous fluid induced by an expanding or contracting porous slider under the influence of activation energy with exothermic and endothermic chemical reactions is explored in this study. Moreover, the amount of fluid injected to levitate the slider changes over time according to where it is at any instant. With the aid of similarity variables, the modelling equations relating to the fluid flow are converted into a system of ordinary differential equations. Then, this system of equations is solved numerically with the help of the Runge-Kutta Fehlberg's fourth fifth-order method (RKF-45). Graphs are used to analyze the impact of the various parameters on the flow, thermal and concentration fields. Results reveal that the velocity profiles get smaller as the wall dilation parameter rises. An anticipated boundary layer development next to the wall results from increased Reynolds number. The temperature profile for an exothermic process has a diminishing influence as the activation energy parameter increases, whereas the opposite consequences are obtained for an endothermic reaction. For an exothermic reaction, the temperature profile rises as the chemical reaction parameter values increase. However, the opposite consequences can be seen for an endothermic reaction.

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“…Goud et al [28] investigated ternary hybrid NF in the thermal circulation of a unite fin with the interior production of heat transfer analysis. Hussain et al [29] investigated the neural network of mixed convection viscoelastic hybrid NF through a circular cylinder with the consequence of radiation. Raju et al [30] investigated the implications of body acceleration and gold nanoparticles over blood flow in the perpendicular stenosis vein.…”

Section: Introductionmentioning

confidence: 99%

Influence of Marangoni convection, viscous dissipation, and variable fluid viscosity of nanofluid flow on stretching surface analytical analysis

Rehman,

Khun,

Alsubaie

et al. 2023

Z Angew Math Mech

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The current research paper investigates the viscous dissipation, influence of Marangoni convection (MC), and the variable fluid viscosity of nanofluid flow on stretching surfaces. The flow system takes into account variable viscosity with the impact of MC. Furthermore, velocity and temperature slips at the stretching surface are also considered in this study. To convert a collection of NLPDE to a NODE, we applied appropriate transformations. We utilize Homotopy analysis method (HAM) to solve this set of equations. The effects of temperature, tangential, and radial velocities on numerical perceptions involving Marangoni convection, nanoparticle volume friction, porosity parameter, Eckert number (EN) and heat source input factors are shown. A physical description is used to simulate and evaluate the structures of flow features such as velocity and temperature profiles in response to changes in developing factors. Based on the given result, we can observe that the temperature profile increases as EN and the heat source parameter increase, and that the velocity profile decreases as MC increases and increases with the porosity parameter.

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Artificial neural network modeling of mixed convection viscoelastic hybrid nanofluid across a circular cylinder with radiation effect: Case study

Cited by 31 publications

References 35 publications

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

Impact of chemical reactions that generate and absorb heat in the flow induced by a squeezing porous slider

Influence of Marangoni convection, viscous dissipation, and variable fluid viscosity of nanofluid flow on stretching surface analytical analysis

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