A non-Fourier double diffusion theory-based optimal assessment for 3D flow of Prandtl nanofluid featuring Hall and ion slip impacts through convectively heated surface

Thermodynamic properties of non-Newtonian fluids through stretching surfaces become widely used in processes such as the extrusion of plastic sheets, paper manufacturing, glass blowing, liquid film condensation, and biopolymer cylinder coatings. Consequently, the aim of this communication is to transparently describe the Prandtl nanofluid flow characteristic that results from extending a surface. In the present endeavor, heat & mass transfer are combined by means of the generalized Ohm law. The generalized Fourier and Fick laws serve as the foundation for the phenomena of mass movement and heat transfer, respectively. Ion slip effects and the Hall contribution are also included. The two key slip mechanisms that control nanoparticle mobility in relation to the base fluid—Brownian diffusion and thermophoresis—are taken into consideration in this work by using Buongiorno's nanofluid model. Brownian motion and thermophoresis parameters are used to quantify these phenomena, respectively. Based on their capacity to regulate velocity using thermophoresis and Brownian motion parameters, the results showed that nanoparticles are useful for both medication delivery and transportation. These sets of partial differential equation (PDEs) that correspond to the mathematical modeling are coupled with appropriate similarity transformations to build an (ordinary differential equations) system, which is subsequently solved by consuming the Lobatto IIIA method's power. Numerical and graphical examples are provided to illustrate the ways in which different physical restrictions impact heat and mass transport in addition to velocity fluctuation. According to the results, the velocity profile tends to be improved by the Prandtl and elastic fluid parameters. Moreover, Random movement of fluid particles, which is brought on by an increase in the Brownian motion parameter, might intensify the heat transfer phenomenon. Many real-world domains, such as microfluidics, industry, transportation, the military, and medical, use features of nanofluids. The present research is significant and might also be helpful in raising heat exchangers' thermal efficiency, which would support the preservation of thermal balance control in heat-density devices and equipment.

Authors

Institutions

Publication Details

Journal
Canadian Journal of Physics
Published
2025-11-25
DOI
https://doi.org/10.1139/cjp-2025-0077
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A non-Fourier double diffusion theory-based optimal assessment for 3D flow of Prandtl nanofluid featuring Hall and ion slip impacts through convectively heated surface

M.S. Alqurashi, Zeeshan Khan, Esraa N. Thabet, S. H. Elhag et al.
Canadian Journal of Physics
Nanofluid Flow and Heat Transfer
article

A non-Fourier double diffusion theory-based optimal assessment for 3D flow of Prandtl nanofluid featuring Hall and ion slip impacts through convectively heated surface

M.S. Alqurashi, Zeeshan Khan, Esraa N. Thabet, S. H. Elhag, A. M. Abd-Alla
article en

Abstract

Thermodynamic properties of non-Newtonian fluids through stretching surfaces become widely used in processes such as the extrusion of plastic sheets, paper manufacturing, glass blowing, liquid film condensation, and biopolymer cylinder coatings. Consequently, the aim of this communication is to transparently describe the Prandtl nanofluid flow characteristic that results from extending a surface. In the present endeavor, heat & mass transfer are combined by means of the generalized Ohm law. The generalized Fourier and Fick laws serve as the foundation for the phenomena of mass movement and heat transfer, respectively. Ion slip effects and the Hall contribution are also included. The two key slip mechanisms that control nanoparticle mobility in relation to the base fluid—Brownian diffusion and thermophoresis—are taken into consideration in this work by using Buongiorno's nanofluid model. Brownian motion and thermophoresis parameters are used to quantify these phenomena, respectively. Based on their capacity to regulate velocity using thermophoresis and Brownian motion parameters, the results showed that nanoparticles are useful for both medication delivery and transportation. These sets of partial differential equation (PDEs) that correspond to the mathematical modeling are coupled with appropriate similarity transformations to build an (ordinary differential equations) system, which is subsequently solved by consuming the Lobatto IIIA method's power. Numerical and graphical examples are provided to illustrate the ways in which different physical restrictions impact heat and mass transport in addition to velocity fluctuation. According to the results, the velocity profile tends to be improved by the Prandtl and elastic fluid parameters. Moreover, Random movement of fluid particles, which is brought on by an increase in the Brownian motion parameter, might intensify the heat transfer phenomenon. Many real-world domains, such as microfluidics, industry, transportation, the military, and medical, use features of nanofluids. The present research is significant and might also be helpful in raising heat exchangers' thermal efficiency, which would support the preservation of thermal balance control in heat-density devices and equipment.

Canadian Journal of PhysicsVol. 104
Taif University (SA), Abdul Wali Khan University Mardan (PK), Ider University (MN), Lux Research (United States) (US), Sohag University (EG)
Openalex Percentile: Top 65%
Nanofluid Flow and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.