Intelligent computing applications to study the tri-hybrid nanofluid past over the stretched surface DOI Creative Commons

Ch Muhammad Zulfiqar Umer,

Iftikhar Ahmad

Results in Physics, Journal Year: 2024, Volume and Issue: unknown, P. 107972 - 107972

Published: Sept. 1, 2024

Language: Английский

Investigating the convective flow of ternary hybrid nanofluids and single nanofluids around a stretched cylinder: Parameter analysis and performance enhancement DOI Creative Commons

Mehdi Mahboobtosi,

Kh. Hosseinzadeh, Davood Domiri Ganji

et al.

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: 23, P. 100752 - 100752

Published: July 1, 2024

Within this research, we examined the convective flow of a blend ternary hybrid nanofluids and single with stagnation point caused by stretched cylinder. The purpose study is to investigate effect using nanofluid instead nanofluid. Water used as base fluid in investigation. made copper Molybdenum disulfide, copper, silver. impact curvature parameter, nanoparticle volume fraction, mixed convection velocity ratio, shape factor, conjugate number Eckert parameters on temperature profiles has been investigated. Differential equations partial derivatives were transformed ordinary differential type. ODEs then solved RK5th method. greater advantages than enhances compared nanofluid, according study. Furthermore, results showed that when fraction factor improved, so did profile. moving from at equal 16.2 (Lamina) boosts 20 %. Also, 0.45, substituting tenfold.

Language: Английский

Citations

37
Heat transfer analysis for magnetohydrodynamic peristalsis of Reiner–Philippoff fluid: Application of an artificial neural network DOI Creative Commons
J. Iqbal, F. M. Abbasi, Imran Ali

et al.

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(4)

Published: April 1, 2024

Present communication explores a novel application of the computational intelligence technique, namely, Levenberg–Marquardt scheme under Backpropagated Neural Network (LM-BNN) to solve mathematical model for magnetohydrodynamic peristaltic transport Reiner–Philippoff (R–Ph) pseudoplastic fluid considering influences Ohmic heating, mixed convection, and viscous dissipation through symmetric channel. The R–Ph is used in this investigation elucidate non-Newtonian behavior consideration. delineates intricate relationship between stress deformation rate within fluid. There are few studies available on that do not incorporate Joule magnetic field effects. Therefore, developed employ an artificial neural network technique with different approach has been examined before. governing equations problem simplified using long wavelength low Reynolds number approximations, resulting system numerically solved BVP4c MATLAB based shooting algorithm. Furthermore, dataset constructed proposed LM-BNN, eight scenarios motion by varying Bingham number, Brinkman Grashof parameter, Hartmann number. numerical divided into 15% testing, training, 70% validation, which utilized LM-BNN analyze solutions networks (LM-NNs) predicted results. consistency effectiveness validated regression analysis, stresses at wall, error histogram, correlation index, heat transfer, mean squared fitness curves, vary from 10−3→10−11. Variations several flow parameters affecting temperature velocity profiles explained physically graphs. Additionally, analysis transfer including absolute errors, provided tables. outcomes reveal improving tend increase profile. Tabular results indicate rates improve when assigning higher values whereas wall decrease parameter simulations valuable step determining whether data obtained reliable accurate. In terms error, disagreement those LM-NNs approximately 10−5→10−11. It clear consistent reliable.

Language: Английский

Citations

18
Application of machine learning for thermal exchange of dissipative ternary nanofluid over a stretchable wavy cylinder with thermal slip DOI Creative Commons

Hamid Qureshi,

Amjad Ali Pasha, Zahoor Shah

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104599 - 104599

Published: May 27, 2024

This article explores the enhancement of thermal exchange in a dissipative Triple-nanoparticle hybrid fluid over stretchable wavy cylindrical surface with slip effect, incorporating Python bvp algorithm artificial intelligence AI analysis numerical results. The stochastic gives enhanced and optimized results predictive modeling, randomness influencing parameters nonlinear turbulent behavior model. model has significant importance application noise reducing drag reduction devices or structures. Moreover, presented geometrical structure is useful enhancing conduction characteristic. intricate interplay constituent nanoparticles their effect on complex heat transfer optimization main focus this study. Mathematical Model PDEs flow problem converted into system ODEs by similarity transformations introducing dimensionless parameters. Numerical solutions emerged are obtained solver graphical presented. To expedite solution process enhance accuracy prediction, advanced algorithm, such as neural network machine learning technique adopted. dataset from embedded for further using Levenberg Marquardt Feed-forward Algorithm (LMFA) 10 computing neurons 4 output layers representing parametric variations. A rise speed observed higher value yield stress Newtonian-behavior i.e. Casson parameter stretching λ sheet, but shows decline turbulence . Temperature profile show descending inclination Eckert ratio Ec, Prandtl momentum-thermal diffusivity.

Language: Английский

Citations

18
Comparative Study of Hybrid, Tri-Hybrid and Tetra-Hybrid Nanoparticles in MHD Unsteady Flow with Chemical Reaction, Activation Energy, Soret-Dufour Effect and Sensitivity Analysis over Non-Darcy Porous Stretching Cylinder DOI Creative Commons

M Amudhini,

Poulomi De

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35731 - e35731

Published: Aug. 1, 2024

Present study investigates influence of Soret-Dufour effects on MHD unsteady flow a tetra-hybrid nanofluid (Al

Language: Английский

Citations

18
Heat transfer analysis of ternary hybrid Williamson nanofluids with gyrotactic microorganisms across stretching surfaces: Local non-similarity method DOI
Umar Farooq, Tao Liu, Umer Farooq

et al.

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: April 15, 2024

Managing and controlling energy amidst rapid industrial technological advancements pose significant challenges. Enhanced heat transfer processes, like free convection in solar panels nuclear power plants, offer potential to reduce consumption improve system efficiency. Understanding elements such as magnetic fields, thermal radiation, nanoparticle morphology can optimize fluid dynamics across various domains including energy, aerospace, power. This study aims develop a two-dimensional Williamson model with ternary hybrid nanofluids gyrotactic microorganisms deepen our understanding of transfer. Methodological enhancements include integrating viscous dissipation formulations adopting the Rosseland approximation address radiation effects accurately. By leveraging non-similarity transformations, equations are rendered nondimensional for efficient numerical solutions using MAT LAB. Graphical overviews tables aid comprehending key factors practical applications engineering analyses.

Language: Английский

Citations

16
ANN-based Two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry DOI Creative Commons
Adil Darvesh,

Fethi Mohamed Maiz,

Basma Souayeh

et al.

Hybrid Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100396 - 100396

Published: Jan. 1, 2025

Language: Английский

Citations

3
Thermal Brownian motion and thermophoretic of reacting hybridized nanoparticles in Williamson-water base fluid with convective cooling cylinder DOI Creative Commons

S.O. Salawu,

A.M. Obalalu,

E.O. Fatunmbi

et al.

Hybrid Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100370 - 100370

Published: Jan. 1, 2025

Language: Английский

Citations

2
Comparative Analysis of the Silver-Gold and Copper-Titanium dioxide Hybrid Nanoparticles Impact on Flow and Heat Transfer of the Pulsatile Blood in Occluded Cerebral Artery DOI
Nahid Najafi, Wala Almosawy,

M. Abbas

et al.

Journal of Thermal Biology, Journal Year: 2025, Volume and Issue: unknown, P. 104060 - 104060

Published: Jan. 1, 2025

Language: Английский

Citations

2
Thermal and MHD behavior of CNT Maxwell nanofluid over a stretchable cylinder DOI

M. Faraz,

Jang Min Park

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101326 - 101326

Published: Feb. 6, 2025

Language: Английский

Citations

2
Darcy–Forchheimer flow of Williamson ternary hybrid nanofluids over a stretching cylinder DOI

H. Fareed,

A. Abbasi, W. Farooq

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)

Published: Feb. 11, 2025

Language: Английский

Citations

2