Computational study on heat and mass transfer in viscoelastic fluid with multiscale nanoparticles

Abstract Simultaneous heat and mass transport in fluid involves several engineering applications. Therefore, simultaneous transfer of heat and mass in second‐grade fluid is modeled under consideration of three types of nanoparticles (ternary, hybrid, and mono). and are taken as ternary, and are taken as hybrid, and is taken as mono‐nanoparticles. The behavior of emergent parameters on temperature and quantities of engineering relevance (wall heat and mass fluxes) is simulated using bvp4c. The results are tested to be accurate against published data. Joule heating affects the thermal performance of the working fluid adversely. Thus, for an optimized heat transfer fluid, it should not produce heat in the ohmic dissipation process. The working fluid should not be heat‐generating. Otherwise, the thermal efficiency of the fluid will be reduced due to a rise in the temperature of the fluid. However, heat absorption by the fluid is a favorable characteristic of the working fluid. The predictions perceived from the simulations have unveiled that flow velocity increases when the second‐grade parameter is increased. Thus, wall momentum diffuses into a second‐grade fluid than into a Newtonian fluid. Thus, the momentum boundary layer thickness in second‐grade fluid is wider than in the Newtonian fluid.

Authors

Institutions

Publication Details

Journal
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
Published
2025-11-01
DOI
https://doi.org/10.1002/zamm.70285
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

Computational study on heat and mass transfer in viscoelastic fluid with multiscale nanoparticles

Abdelatif Salmi, Abida Kausar, M. Nawaz, Sayer Obaid Alharbi et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik
Nanofluid Flow and Heat Transfer
article

Computational study on heat and mass transfer in viscoelastic fluid with multiscale nanoparticles

Abdelatif Salmi, Abida Kausar, M. Nawaz, Sayer Obaid Alharbi, Saja Mohammad Almohmmadi
article en

Abstract

Abstract Simultaneous heat and mass transport in fluid involves several engineering applications. Therefore, simultaneous transfer of heat and mass in second‐grade fluid is modeled under consideration of three types of nanoparticles (ternary, hybrid, and mono). and are taken as ternary, and are taken as hybrid, and is taken as mono‐nanoparticles. The behavior of emergent parameters on temperature and quantities of engineering relevance (wall heat and mass fluxes) is simulated using bvp4c. The results are tested to be accurate against published data. Joule heating affects the thermal performance of the working fluid adversely. Thus, for an optimized heat transfer fluid, it should not produce heat in the ohmic dissipation process. The working fluid should not be heat‐generating. Otherwise, the thermal efficiency of the fluid will be reduced due to a rise in the temperature of the fluid. However, heat absorption by the fluid is a favorable characteristic of the working fluid. The predictions perceived from the simulations have unveiled that flow velocity increases when the second‐grade parameter is increased. Thus, wall momentum diffuses into a second‐grade fluid than into a Newtonian fluid. Thus, the momentum boundary layer thickness in second‐grade fluid is wider than in the Newtonian fluid.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und MechanikVol. 105(11)
Prince Sattam Bin Abdulaziz University (SA), Majmaah University (SA), Institute of Space Technology (PK), King Khalid University (SA)
Openalex Percentile: Top 66%
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.