Numerical and Levenberg–Marquardt backpropagation neural networks computation of ternary nanofluid flow across parallel plates with Nield boundary conditions

The impact of the inclined magnetic field toward a flat parallel plate by operating incompressible suspension of three diverse types of oxide nano-sized particles in water-based ternary hybrid nano-liquid is investigated numerically. Flow is theoretically to be unstable squeezing the laminar flow of...

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Vydané v:	European physical journal plus Ročník 138; číslo 1; s. 63
Hlavní autori:	Sharma, Ram Prakash, Madhukesh, J. K., Shukla, Sunendra, Prasannakumara, B. C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 21.01.2023 Springer Nature B.V
Predmet:	Aluminum Applied and Technical Physics Atomic Back propagation networks Boundary conditions Complex Systems Compressing Computation Condensed Matter Physics Differential equations Energy Fluid flow Heat conductivity Heat exchangers Heat transfer Hyperthermia Inclination angle Investigations Laminar flow Magnetic effects Magnetic fields Mathematical and Computational Physics Mathematical models Molecular Nanofluids Nanoparticles Neural networks Optical and Plasma Physics Parallel plates Parameter sensitivity Partial differential equations Physics Physics and Astronomy Radiation Regular Article Similarity solutions Theoretical Velocity Velocity distribution Viscosity
ISSN:	2190-5444, 2190-5444
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Shrnutí:	The impact of the inclined magnetic field toward a flat parallel plate by operating incompressible suspension of three diverse types of oxide nano-sized particles in water-based ternary hybrid nano-liquid is investigated numerically. Flow is theoretically to be unstable squeezing the laminar flow of ternary nanofluid between infinite parallel plates with Nield boundary conditions with the help of neural networks computation taken. The surface is subjected to a steady fully developed free stream velocity with Cattaneo–Christov heat and mass flux used to mathematical model with the governing equations in the form of partial differential equations of flow, and thermal profile, including the boundary conditions. The entailed similarity solution to the problem changed into a system of ordinary differential equations and resolved to utilize RKF 45 with shooting technique. The impact of these processes' sensitivity of the liquid parameterized by different non-dimensional parameters has been discussed on usual profiles along with Sherwood number and Nusselt number with the characteristics with the support of plots and tables. The study reveals that for squeezing parameter S 1 < 0 velocity profile decays and is enhanced for S 1 > 0 . Increasing the magnetic effect decreases the velocity profile, whereas increasing the inclination angle increases the velocity profile. The developed ANN model was proved to be trustworthy due to its excellent accuracy throughout the training, validation, and testing processes.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	2190-5444 2190-5444
DOI:	10.1140/epjp/s13360-023-03680-4