Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process

This article investigates the steady, two-dimensional electro-magneto-hydrodynamic (EMHD) flow of a micropolar dusty fluid across a linearly stretched surface, subjected to electroosmotic forces, buoyancy-driven convection, and both reversible and irreversible chemical reactions. Electrokinetic effects are modeled using the modified Helmholtz-Smoluchowski formulation. At the same time, micropolar fluid theory accounts for microstructural characteristics. The two-phase framework couples momentum, heat, and mass transport with viscous dissipation and entropy generation. The governing partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and subsequently solved through the shooting method and the Runge-Kutta-Fehlberg (RKF45) technique. The model is validated against established results in limiting scenarios. Parametric analysis reveals how the electroosmotic parameter, magnetic and electric fields, and micropolar coupling govern flow behavior, entropy generation, Bejan number, skin friction, and heat transfer. Results reveal that magnetic and micropolar parameters significantly enhance entropy generation and modulate the Bejan number. Elevated electroosmotic and electric parameters promote flow acceleration, boundary-layer thinning, and suppress both microrotation and thermal gradients. This comprehensive model provides new insights into complex multiphase EMHD transport phenomena and holds potential for optimization in applications such as targeted drug delivery, thermal control in EMHD-based energy systems, and electrokinetic microfluidics.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-17
DOI
https://doi.org/10.1038/s41598-025-15017-5
Citations
7
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
4.72

Funders

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

Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process

Nandalur Ameer Ahammad, Muzammil Hussain, S. Nadeem, Bagh Ali et al.
7 citations
Scientific Reports
Nanofluid Flow and Heat Transfer
4.72
article

Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process

Nandalur Ameer Ahammad, Muzammil Hussain, S. Nadeem, Bagh Ali, Aziz Ullah Awan, Fehmi Gamaoun
article en
7 citations

Abstract

This article investigates the steady, two-dimensional electro-magneto-hydrodynamic (EMHD) flow of a micropolar dusty fluid across a linearly stretched surface, subjected to electroosmotic forces, buoyancy-driven convection, and both reversible and irreversible chemical reactions. Electrokinetic effects are modeled using the modified Helmholtz-Smoluchowski formulation. At the same time, micropolar fluid theory accounts for microstructural characteristics. The two-phase framework couples momentum, heat, and mass transport with viscous dissipation and entropy generation. The governing partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and subsequently solved through the shooting method and the Runge-Kutta-Fehlberg (RKF45) technique. The model is validated against established results in limiting scenarios. Parametric analysis reveals how the electroosmotic parameter, magnetic and electric fields, and micropolar coupling govern flow behavior, entropy generation, Bejan number, skin friction, and heat transfer. Results reveal that magnetic and micropolar parameters significantly enhance entropy generation and modulate the Bejan number. Elevated electroosmotic and electric parameters promote flow acceleration, boundary-layer thinning, and suppress both microrotation and thermal gradients. This comprehensive model provides new insights into complex multiphase EMHD transport phenomena and holds potential for optimization in applications such as targeted drug delivery, thermal control in EMHD-based energy systems, and electrokinetic microfluidics.

Scientific ReportsVol. 15(1)
Khazar University (AZ), Quaid-i-Azam University (PK), Tribhuvan University (NP), University of the Punjab (PK), University of Tabuk (SA), King Khalid University (SA), Saveetha University (IN)
King Khalid University
Affordable and clean energy
Openalex Percentile: Top 5%
Nanofluid Flow and Heat Transfer
4.72
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.