Semi-numerical simulation for the thermal performance of unsteady squeezing non-Newtonian MHD couple stress ternary hybrid nanofluid flow between parallel surfaces

A base fluid containing a three-component mixture of distinct nanoparticles called a ternary hybrid nanofluid (THNF). In single- or binary-hybrid nanofluids (HNF), these ternary systems exhibit synergistic thermal effects that enhance heat transfer more efficiently. The purpose of this research is to present a semi-numerical simulation and model for analysing the thermal performance of unsteady squeezing flow of a non-Newtonian magneto-hydrodynamic couple-stress THNF confined between 2 parallel surfaces, with the influence of viscous dissipation and heat generation. The THNF, synthesised by dispersing M W C N T , S W C N T , A g in a non-Newtonian base fluid, was investigated to investigate its superior energy transfer capabilities under complex flow regimes. The key nonlinear PDEs, accounting for squeezing motion, coupling stress effects, magnetic field (MF) interaction, and nanoparticle suspension, are converted into dimensionless nonlinear ODEs via suitable similarity transformations. A semi-numerical approach, the Homotopy analysis method (HAM), combining analytical and numerical schemes, is employed to achieve high-accuracy solutions for velocity and temperature fields. The influence of important parameters, such as the unsteady parameter, the couple stress parameter, the magnetic parameter, the nanoparticle volume fraction, the heat generation parameter, the rotation parameter, and the Eckert number, on the velocity and temperature profiles is observed. The results show that adding ternary hybrid nanoparticles greatly increases thermal conductivity, while the coupling stress and MHD parameters control energy dissipation and flow resistance. For engineering applications such as lubrication systems, extrusion processes, microfluidics, and biomedical devices, the analysis shows that squeezing dynamics and unsteady effects significantly influence energy transfer improvements.

Authors

Institutions

Publication Details

Journal
International Journal of Thermofluids
Published
2025-12-07
DOI
https://doi.org/10.1016/j.ijft.2025.101516
Citations
1
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semi-numerical simulation for the thermal performance of unsteady squeezing non-Newtonian MHD couple stress ternary hybrid nanofluid flow between parallel surfaces

Siti Sabariah Abas, Ali Rehman, Edrisa Jawo, K. Sudarmozhi et al.
1 citations
International Journal of Thermofluids
Nanofluid Flow and Heat Transfer
0.67
article

Semi-numerical simulation for the thermal performance of unsteady squeezing non-Newtonian MHD couple stress ternary hybrid nanofluid flow between parallel surfaces

Siti Sabariah Abas, Ali Rehman, Edrisa Jawo, K. Sudarmozhi, Abdullah Aziz Saad
article en
1 citations

Abstract

A base fluid containing a three-component mixture of distinct nanoparticles called a ternary hybrid nanofluid (THNF). In single- or binary-hybrid nanofluids (HNF), these ternary systems exhibit synergistic thermal effects that enhance heat transfer more efficiently. The purpose of this research is to present a semi-numerical simulation and model for analysing the thermal performance of unsteady squeezing flow of a non-Newtonian magneto-hydrodynamic couple-stress THNF confined between 2 parallel surfaces, with the influence of viscous dissipation and heat generation. The THNF, synthesised by dispersing M W C N T , S W C N T , A g in a non-Newtonian base fluid, was investigated to investigate its superior energy transfer capabilities under complex flow regimes. The key nonlinear PDEs, accounting for squeezing motion, coupling stress effects, magnetic field (MF) interaction, and nanoparticle suspension, are converted into dimensionless nonlinear ODEs via suitable similarity transformations. A semi-numerical approach, the Homotopy analysis method (HAM), combining analytical and numerical schemes, is employed to achieve high-accuracy solutions for velocity and temperature fields. The influence of important parameters, such as the unsteady parameter, the couple stress parameter, the magnetic parameter, the nanoparticle volume fraction, the heat generation parameter, the rotation parameter, and the Eckert number, on the velocity and temperature profiles is observed. The results show that adding ternary hybrid nanoparticles greatly increases thermal conductivity, while the coupling stress and MHD parameters control energy dissipation and flow resistance. For engineering applications such as lubrication systems, extrusion processes, microfluidics, and biomedical devices, the analysis shows that squeezing dynamics and unsteady effects significantly influence energy transfer improvements.

International Journal of ThermofluidsVol. 31
Universiti Sains Malaysia (MY), University of the Gambia (GM), Sultan Zainal Abidin University (MY), Saveetha University (IN)
Openalex Percentile: Top 24%
Nanofluid Flow and Heat Transfer
0.67
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.