Magnetohydrodynamic Mixed Convection Flow and Entropy Generation of a Hybrid Cu–Al2O3/H2O Nanofluid over a Vertical Cylinder with Joule Heating and Thermal Radiation

This study investigates entropy generation in a steady, laminar, magnetohydrodynamic mixed-convection boundary-layer flow of a hybrid Cu–Al2O3/water nanofluid over a heated, slender vertical cylinder subjected to a transverse magnetic field, Joule heating, viscous dissipation and thermal radiation. The governing partial differential equations are reduced to a non-similar system via a local-Reynolds-number similarity transformation and solved using a finite-difference collocation boundary-value method (bvp4c) combined with ξ-continuation and a second-level local non-similarity formulation. The model is validated against previously published results with deviations of about 2% over the range of curvature considered. Results show that the applied magnetic field decelerates the flow and increases the local entropy generation, while increased buoyancy accelerates the flow and enhances wall heat transfer. Thermal radiation and Joule heating both thicken the thermal boundary layer. Quantitatively, as the radiation parameter Rd increases from 0 to 2, the local Nusselt number rises from 0.9283 to 2.4103 (at Ri=1, M=0.5, ξ=1); as the Richardson number Ri increases from 0 to 2, the skin-friction coefficient rises from 0.9477 to 1.7798. The Brinkman number is identified as the dominant parameter controlling the balance between heat transfer and Joule irreversibility, as quantified through the entropy generation number and the Bejan number. These findings provide guidance for the thermal design and second-law optimization of MHD hybrid-nanofluid systems operating over curved geometries.

Authors

Institutions

Publication Details

Journal
Processes
Published
2026-10-27
DOI
https://doi.org/10.3390/pr14213446
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

Magnetohydrodynamic Mixed Convection Flow and Entropy Generation of a Hybrid Cu–Al2O3/H2O Nanofluid over a Vertical Cylinder with Joule Heating and Thermal Radiation

Kawthar Hadja, Souad Tahar, Ebrahim E. Elsayed, Mounir Zirari et al.
2 links
Processes
Nanofluid Flow and Heat Transfer
article

Magnetohydrodynamic Mixed Convection Flow and Entropy Generation of a Hybrid Cu–Al2O3/H2O Nanofluid over a Vertical Cylinder with Joule Heating and Thermal Radiation

Kawthar Hadja, Souad Tahar, Ebrahim E. Elsayed, Mounir Zirari, Hichem Ykrelef, Fatma Zohra Saidoune
article en

Abstract

This study investigates entropy generation in a steady, laminar, magnetohydrodynamic mixed-convection boundary-layer flow of a hybrid Cu–Al2O3/water nanofluid over a heated, slender vertical cylinder subjected to a transverse magnetic field, Joule heating, viscous dissipation and thermal radiation. The governing partial differential equations are reduced to a non-similar system via a local-Reynolds-number similarity transformation and solved using a finite-difference collocation boundary-value method (bvp4c) combined with ξ-continuation and a second-level local non-similarity formulation. The model is validated against previously published results with deviations of about 2% over the range of curvature considered. Results show that the applied magnetic field decelerates the flow and increases the local entropy generation, while increased buoyancy accelerates the flow and enhances wall heat transfer. Thermal radiation and Joule heating both thicken the thermal boundary layer. Quantitatively, as the radiation parameter Rd increases from 0 to 2, the local Nusselt number rises from 0.9283 to 2.4103 (at Ri=1, M=0.5, ξ=1); as the Richardson number Ri increases from 0 to 2, the skin-friction coefficient rises from 0.9477 to 1.7798. The Brinkman number is identified as the dominant parameter controlling the balance between heat transfer and Joule irreversibility, as quantified through the entropy generation number and the Bejan number. These findings provide guidance for the thermal design and second-law optimization of MHD hybrid-nanofluid systems operating over curved geometries.

ProcessesVol. 14(21)
Mansoura University (EG), Azerbaijan University of Architecture and Construction (AZ), University Yahia Fares of Medea (DZ)
Openalex Percentile: Top 24%
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.

Laika access coming soon