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

и другие.

Communications in Nonlinear Science and Numerical Simulation, Год журнала: 2024, Номер unknown, С. 108378 - 108378

Опубликована: Окт. 1, 2024

Язык: Английский

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

и другие.

International Journal of Thermal Sciences, Год журнала: 2025, Номер 212, С. 109765 - 109765

Опубликована: Фев. 10, 2025

Язык: Английский

Процитировано

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

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104801 - 104801

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

1

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

и другие.

International Journal of Numerical Methods for Heat &amp Fluid Flow, Год журнала: 2025, Номер unknown

Опубликована: Май 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

Язык: Английский

Процитировано

1

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

A. Y. Balarabe,

Muhammad Ibrahim

и другие.

The European Physical Journal Plus, Год журнала: 2025, Номер 140(5)

Опубликована: Май 7, 2025

Язык: Английский

Процитировано

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

и другие.

Communications in Nonlinear Science and Numerical Simulation, Год журнала: 2024, Номер unknown, С. 108378 - 108378

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1