A computational framework to explore the impact of heat generation and activation energy on Marangoni convective stagnation point flow of ternary hybrid nanofluid

This paper investigates the influence of viscous dissipation on stagnation point flow of THNF (trihybrid nanofluid) in the existence of Marangoni convection and an activation energy. Also, the impact of heat generation and magnetic field are taken into account. Copper oxide [Formula: see text], magnesium oxide [Formula: see text], and titanium dioxide [Formula: see text] nanoparticles immersed in water [Formula: see text] make up the ternary hybrid nanofluid. It can be utilized in sophisticated electronic device cooling systems. This concept has additional applications in biomedical engineering, including in targeted drug delivery systems, where precise and effective therapeutic agent transportation can be achieved by regulated fluid flow. It also finds use in the design of lab-on-a-chip technologies and microfluidic devices, where a microscale understanding of fluid behavior is crucial. A set of non-linear ODEs (ordinary differential equations) has been generated from the problem’s governing equations by the use of similarity techniques. The consequent equations can be quantitatively solved using the shooting method. The shooting technique based on Bvp4c is used to derive the numerical solutions. An upsurge in the Marangoni convection parameter results in improvements to the velocity profile, rate of mass, and heat transmission but a decline in the thermal and concentration profiles.

Authors

Institutions

Publication Details

Journal
Advances in Mechanical Engineering
Published
2024-12-01
DOI
https://doi.org/10.1177/16878132241304602
Citations
19
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
3.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A computational framework to explore the impact of heat generation and activation energy on Marangoni convective stagnation point flow of ternary hybrid nanofluid

Munawar Abbas, Hammad Alotaibi, Taseer Muhammad, Hafiz Muhammad Ghazi
19 citations
Advances in Mechanical Engineering
Nanofluid Flow and Heat Transfer
3.50
article

A computational framework to explore the impact of heat generation and activation energy on Marangoni convective stagnation point flow of ternary hybrid nanofluid

Munawar Abbas, Hammad Alotaibi, Taseer Muhammad, Hafiz Muhammad Ghazi
article en
19 citations

Abstract

This paper investigates the influence of viscous dissipation on stagnation point flow of THNF (trihybrid nanofluid) in the existence of Marangoni convection and an activation energy. Also, the impact of heat generation and magnetic field are taken into account. Copper oxide [Formula: see text], magnesium oxide [Formula: see text], and titanium dioxide [Formula: see text] nanoparticles immersed in water [Formula: see text] make up the ternary hybrid nanofluid. It can be utilized in sophisticated electronic device cooling systems. This concept has additional applications in biomedical engineering, including in targeted drug delivery systems, where precise and effective therapeutic agent transportation can be achieved by regulated fluid flow. It also finds use in the design of lab-on-a-chip technologies and microfluidic devices, where a microscale understanding of fluid behavior is crucial. A set of non-linear ODEs (ordinary differential equations) has been generated from the problem’s governing equations by the use of similarity techniques. The consequent equations can be quantitatively solved using the shooting method. The shooting technique based on Bvp4c is used to derive the numerical solutions. An upsurge in the Marangoni convection parameter results in improvements to the velocity profile, rate of mass, and heat transmission but a decline in the thermal and concentration profiles.

Advances in Mechanical EngineeringVol. 16(12)
Islamia University of Bahawalpur (PK), Taif University (SA), King Khalid University (SA)
Taif University
Affordable and clean energy
Openalex Percentile: Top 7%
Nanofluid Flow and Heat Transfer
3.50
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.