Wastewater Pollutant Discharge Concentration Effect on Non-Newtonian Hybrid Nanofluid Flow across a Riga Sheet: Numerical Exploration DOI
Muhammad Bilal, Saif Ullah, Almetwally M. Mostafa

et al.

Journal of Porous Media, Journal Year: 2024, Volume and Issue: 28(1), P. 1 - 17

Published: May 24, 2024

The proper elimination of wastewater is crucial for many industrial and ecological networks. Preventing analyzing the release chemical contaminants into fluid assets goal current study. In order to achieve this, non-Newtonian hybrid nanofluids (NNNF) flowing under influence pollutant discharge concentration (PDC) through a permeable vertical Riga sheet investigated. Two different types NNNF, second-grade (SG) Walter's B (WB) fluids, have been taken consideration. titanium aluminum vanadium (Ti<sub>6</sub>Al<sub>4</sub>V) AA7075, also known as aviation aircraft nanoparticles (NPs), are dispersed in sodium alginate (C<sub>6</sub>H<sub>9</sub>NaO<sub>7</sub>) synthesize nanofluid (Hnf). flow equations renovated non-dimensional form by employing similarity variable approach. results numerically obtained ND-solve technique coupled with shooting method. numerical findings evaluated previously published research validation purposes. studies exhibit more compatibility previous research. It has noticed from graphical that Hnf temperature falls off rising numbers Ti<sub>6</sub>Al<sub>4</sub>V AA7075-NPs. intensifying AA7075 alloys C<sub>6</sub>H<sub>9</sub>NaO<sub>7</sub>-based improves energy transmission rate 3.49&#37; 7.95&#37; (SG nanofluid), 3.59&#37; 10.95&#37; Hnf), 3.81&#37; 8.76&#37; (WB 4.68&#37; 13.52&#37; Hnf).

Language: Английский

Enhancing thermal transport in chemically reacting nanoparticles using the energy source and Cattaneo-Christov heat flux model DOI Creative Commons

Shazia Habib,

Saleem Nasir, Zeeshan Khan

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100807 - 100807

Published: Oct. 1, 2024

Language: Английский

Citations

12
Numerical study of hydromagnetic bioconvection flow of micropolar nanofluid past an inclined stretching sheet in a porous medium with gyrotactic microorganism DOI
Zeeshan Khan,

Esraa N. Thabet,

Shazia Habib

et al.

Journal of Computational Science, Journal Year: 2024, Volume and Issue: 78, P. 102256 - 102256

Published: March 1, 2024

Language: Английский

Citations

10
Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid DOI Creative Commons

T. N. Tanuja,

S Manjunatha,

Hatim Solayman Migdadi

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 17(4), P. 101125 - 101125

Published: Sept. 23, 2024

Language: Английский

Citations

10
Optimization of heat and mass transfer in chemically radiative nanofluids using Cattaneo-Christov fluxes and advanced machine learning techniques DOI Creative Commons

Shazia Habib,

Saleem Nasir, Zeeshan Khan

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103129 - 103129

Published: Nov. 1, 2024

Language: Английский

Citations

10
Evaluation of thermal radiation and flow dynamics mechanisms in the Prandtl ternary nanofluid flow over a Riga plate using artificial neural networks: A modified Buongiorno model approach DOI
Zafar Abbas, Irfan Mahmood, Saima Batool

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116083 - 116083

Published: Feb. 10, 2025

Language: Английский

Citations

1
Blood-Based CNT Nanofluid Flow Over Rotating Discs for the Impact of Drag Using Darcy–Forchheimer Model Embedding in Porous Matrix DOI
Rupa Baithalu, Subhajit Panda, P. K. Pattnaik

et al.

International Journal of Applied and Computational Mathematics, Journal Year: 2024, Volume and Issue: 10(3)

Published: April 9, 2024

Language: Английский

Citations

7
Experimental investigation into heat transfer and flow characteristics of magnetic hybrid nanofluid (Fe3O4/Ti Creative Commons
Victor O. Adogbeji, Mohsen Sharifpur, Josua P. Meyer

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 258, P. 124630 - 124630

Published: Oct. 12, 2024

Citations

5
Thermal Energy Optimization For Electroosmotic Flow of Ternary Nanocomposition with Debye-Hückel linearization approach DOI Creative Commons

Saima Riasat,

Shafique M.A. Khan, S. Bilal

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105996 - 105996

Published: March 1, 2025

Language: Английский

Citations

0
AI-enhanced prediction and analysis of heat and mass transfer in NEPCM-filled wavy star-shaped cavities under magnetic, radiative, and chemical influences DOI
Munirah Alotaibi,

Weaam Alhejaili,

Abdelraheem M. Aly

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101457 - 101457

Published: April 1, 2025

Language: Английский

Citations

0
Numerical investigation of heat transfer enhancement in magnetohydrodynamics ternary ferrofluids on nonlinear stretching sheet DOI Creative Commons

Muhammad Ehsan Ullah,

Muhammad Idrees, Shah Muhammad

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 59, P. 104470 - 104470

Published: May 3, 2024

The current study examines the complex interaction between mass and thermal energy variations, considering factors including activation energy, chemical reactions, radiation across a nonlinear stretching sheet. ternary nanofluid comprises titanium, single-walled carbon nanotubes, multi-walled nanotubes to improve heat transfer characteristics of fluidic system. Partial differential equations are utilized represent system's dynamic behavior mathematically. Following this, similarity transformations used convert these governing partial into ordinary equations. numerical solution for transformed boundary value is derived using MATLAB. graphical representations explain results calculations, providing clear insights important variables in various conditions. It concluded that an increase flexibility parameter improves fluid, while Prandtl decreases it. Furthermore, applying magnetic field dynamics fluid heating enhances temperature transfer.

Language: Английский

Citations

3