Exploring swirling flow dynamics: Unsupervised machine learning in Maxwell hybrid nanofluid convection over an exponentially stretching cylinder with non-linear radiation effects DOI
Sai Ganga, Ziya Uddin, Rishi Asthana

et al.

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2024, Volume and Issue: unknown, P. 108378 - 108378

Published: Oct. 1, 2024

Language: Английский

Entropy optimization in non-newtonian prandtl-eyring fluid using ANN over a curved riga surface DOI
Muhammad Bilal, Muhammad Farooq, M. Benghanem

et al.

International Journal of Thermal Sciences, Journal Year: 2025, Volume and Issue: 212, P. 109765 - 109765

Published: Feb. 10, 2025

Language: Английский

Citations

3

Thermal-hydrodynamic analysis of a Maxwell fluid with controlled heat/mass transfer over a Riga plate: A numerical study with engineering applications DOI Creative Commons

Haifaa F. Alrihieli,

Musaad S. Aldhabani, Esmail Alshaban

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104801 - 104801

Published: April 1, 2025

Language: Английский

Citations

1

Transient fractional dusty fluid flow in a superhydrophobic microchannel DOI
Muhammed Murtala Hamza,

A. Y. Balarabe,

Muhammad Ibrahim

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(5)

Published: May 7, 2025

Language: Английский

Citations

0

The flow of hybrid nanofluids between nonparallel stretching walls using neural network and control volume finite element method DOI

M. M. Alqarni,

Sultan Alghamdi, Malik Zaka Ullah

et al.

International Journal of Numerical Methods for Heat &amp Fluid Flow, Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Purpose This study aims to examine how Ag and TiO 2 hybrid nanofluids (HNFs) move through a nonparallel stretching channel improve heat transfer (HT). Design/methodology/approach Stretching walls that converge diverge are responsible for the influence on (Ag ) HNF flow. The absorption omission viscous dissipation characters also included in model increase HT rate. governing equations solved control volume finite element method (CVFEM) using (FEA Tool-Multiphysics) software. Solving transformed is done Wavelet-based physics-informed neural network. Findings behavior of nanoparticle (NP) properties evaluated by presenting results as NP concentration, illustrated streamlines, isotherms average Nusselt numbers. impact parameters such Eckert number, absorption, parameter, Magnetic field, Reynold number shrinking has been observed. statistical analysis revealed an 11.8% improvement HT. (mean squared error) (error normalized observed with best validation A comparison made validate obtained results. Research limitations/implications main contribution stretched concept solution CVFEM unsupervised network, which were not focused earlier converging diverging combination . extension possible case other nanomaterials experimental analysis. Practical implications provides intriguing assess microscopic view crucial thermodynamic processes ultimately lead optimal thermal configuration. Social Renewable energy most important factor human development this investigation focuses sources. Originality/value contributions

Language: Английский

Citations

0

Exploring swirling flow dynamics: Unsupervised machine learning in Maxwell hybrid nanofluid convection over an exponentially stretching cylinder with non-linear radiation effects DOI
Sai Ganga, Ziya Uddin, Rishi Asthana

et al.

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2024, Volume and Issue: unknown, P. 108378 - 108378

Published: Oct. 1, 2024

Language: Английский

Citations

1