Stagnation Flow of a Nanofluid with Rough Surface and Energy Dissipation: A Tangent Hyperbolic Model with Practical Engineering Uses DOI Creative Commons
Mohammed Alrehili

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104825 - 104825

Published: April 1, 2025

Language: Английский

Thompson and Troian slip effects on ternary hybrid nanofluid flow over a permeable plate with chemical reaction DOI
Ashish Mishra

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: May 1, 2024

Language: Английский

Citations

33

Influence of quadratic thermal radiation and activation energy impacts over oblique stagnation point hybrid nanofluid flow across a cylinder DOI Creative Commons

J. Madhu,

J. K. Madhukesh,

Ioannis E. Sarris

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104624 - 104624

Published: May 31, 2024

Quadratic thermal radiation is a fundamental term within the field of radiative heat transfer, which pertains to interaction radiation. It encompasses quadratic correlation between temperature and qualities. Although linear more prevalent in numerous everyday applications, non-linear important some situations, particularly where precise representation transfer required. The phenomenon assumes crucial function contexts that need enhanced accuracy modeling transfer. In view this, present investigation carried out examine hybrid nanofluid flow across cylinder under influence quadratic, nonlinear activation energy. governing system differential equations transformed into ordinary via similarity transformations. current study presents results utilizing shooting Runge-Kutta Fehlberg 45 numerical scheme. outcomes show curvature constraint will improve all three profiles while solid fraction decreases velocity raises other two profiles. shows less distribution, followed by cases. rate distribution improves 0.60% for case, 0.52% case 0.656% from nanofluid. Further, mass 0.068% improvement provide useful insights may be used enhance efficiency various including but not limited mechanics fluids, chemical technology, administration.

Language: Английский

Citations

28

Application of activation energy and Joule heating with variable viscosity on MHD flow of trihybrid nanofluid over a disk DOI
Ehtsham Azhar, E.N. Maraj,

Harsa Afaq

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 155, P. 107573 - 107573

Published: May 13, 2024

Language: Английский

Citations

18

Dual solutions in Maxwell ternary nanofluid flow with viscous dissipation and velocity slip past a stretching/shrinking sheet DOI Creative Commons
Yun Ouyang, Md Faisal Md Basir, Kohilavani Naganthran

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 105, P. 437 - 448

Published: Aug. 6, 2024

The industrial significance of stability analysis for dual solutions and heat transfer sets the stage this research. Focusing on Maxwell ternary nanofluid flow, study aims to enhance thermal conductivity by delving into viscous dissipation velocity slip effects a stretching/shrinking sheet. Employing mathematical model, refined with nondimensional transformations MATLAB's BVP4C solver, research identifies examines influence key parameters fluid dynamics transfer. Results showcase progressive improvement in convective skin friction from mono (NF) binary hybrid (HNF), culminating (THNF). These improvements are significantly associated suction/injection parameter (S), whereas (σ) elastic (K) but negatively affect efficiency at elevated levels. robustness upper branch underscores reliability these findings. Remarkably, λ=−1.25 nanoparticle volume fraction 0.04, nanofluids achieve 2.9% leap over HNF, which itself surpasses NF 0.46%. findings hold potential significant advancements sectors such as electronics, manufacturing, energy, biomedical, environmental engineering, aerospace, automotive, aiming elevating efficiency.

Language: Английский

Citations

17

Local thermal non-equilibrium effects on radiative ternary hybrid nanofluid with thermophoresis and Stefan Blowing impacts: Yamada-Ota and Xue model DOI
Ahmed M. Galal, Munawar Abbas, Areej Alzahrani

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(1), P. 101315 - 101315

Published: Feb. 5, 2025

Language: Английский

Citations

8

Numerical analysis of MHD ternary nanofluid flow past a permeable stretching/shrinking sheet with velocity slip DOI Creative Commons
Yun Ouyang, Md Faisal Md Basir, Kohilavani Naganthran

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 116, P. 427 - 438

Published: Jan. 5, 2025

Language: Английский

Citations

4

Study of chemical properties of hybrid nanofluid flow between two permeable disks with suspension of carbon nanotubes using Yamada Ota and Xue models DOI Creative Commons
Aisha Naeem, Zaheer Abbas, Muhammad Yousuf Rafiq

et al.

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101075 - 101075

Published: Jan. 1, 2025

Language: Английский

Citations

4

Novel investigation of burger fluid with gyrotactic microorganisms over a sheet using levenberg marquardt back propagations (LMBP) DOI Creative Commons
Sohaib Abdal, T.A. Taha, Nehad Ali Shah

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 117, P. 403 - 417

Published: Jan. 18, 2025

Language: Английский

Citations

4

Exploring heat generation and magnetic effects on unsteady ternary nanofluid flow over a dynamic wedge in porous media DOI
Yun Ouyang, Md Faisal Md Basir, Kohilavani Naganthran

et al.

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2

AI-Neural Networking Analysis (NNA) of Thermally Slip Magnetized Williamson (TSMW) fluid flow with heat source DOI Creative Commons
Khalil Ur Rehman, Wasfı Shatanawi, Weam G. Alharbi

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104248 - 104248

Published: March 13, 2024

The thermal case study is conducted by using artificial intelligence to examine the heat transfer traits in Williamson fluid flow with source and slip effects. field interacts externally applied magnetic velocity additionally considered at surface. formulated terms of energy momentum equations. All inputs (Prandtl number, field, slip, Weissenberg number) are represented a 4 × 72 matrix samples Nusselt number 1 matrix. randomly divided into three stages: 70%(50) for training, 15%(11) each validation testing. neurons set ten. To train neural networking model, Levenberg-Marquardt algorithm employed. best performance noticed 5.9676e-08. This indicates that network was successfully trained predict NN magnetized For generation parameters, magnitude temperature higher non-magnetic field. Further, admits declining trend while it shows inciting values Prandtl number.

Language: Английский

Citations

14