Simulation of magnetized ferric oxide nanoparticle flow over a stretching surface using a Levenberg–Marquardt backpropagation approach

The proposed study is to examine the application of blood flow in a 2D Non-Newtonian magnetic dipole over a stretching sheet incorporating ferrofluid nanoparticles. By employing appropriate similarity transformations, the system of PDEs is transformed into a set of coupled nonlinear ODEs. The result...

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Veröffentlicht in:	Journal of the Brazilian Society of Mechanical Sciences and Engineering Jg. 47; H. 10; S. 464
Hauptverfasser:	Ahmed, Iftikhar, Azhar, Ehtsham, Ali, Hashmat, Jamal, Muhammad, Afaq, Harsa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025 Springer Nature B.V
Schlagworte:	Artificial neural networks Back propagation networks Blood flow Boundary conditions Charged particles Engineering Ferric oxide Ferrofluids Fluid flow Graphical representations Heat transfer Investigations Magnetic dipoles Magnetic fields Mechanical Engineering Nanoparticles Nusselt number Ordinary differential equations Partial differential equations Radiation Runge-Kutta method Skin friction Stretching Technical Paper Two dimensional flow Velocity Levenberg–Marquardt backpropagation method Nanofluid Magnetic dipole Non-Newtonian fluid Blood flow
ISSN:	1678-5878, 1806-3691
Online-Zugang:	Volltext
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