Thermal and Bioconvective Modeling and Analysis of Unsteady Cu‐Water Nanofluid Flow through Porous Media with Gyrotactic Microorganisms

ABSTRACT This study examined unsteady boundary layer flow of a nanofluid over an expanding sheet embedded in a Darcy porous medium, containing gyrotactic microorganisms. The model includes often‐overlooked factors like heat source effects, unsteadiness, buoyancy, slip conditions, and nanoparticle radius. The bvp4c technique in MATLAB is utilized to solve the governing PDEs numerically once converted into ODEs by utilizing similarity transformations. The findings indicate that while a higher volume fraction of nanoparticles raises temperature and thermal conductivity, it decreases velocity because of increased viscosity. Unsteadiness reduces surface temperature and enhances heat transmission. Larger nanoparticle radii, acting through relative viscosity, increase velocity and decrease temperature. In contrast to thermal buoyancy, which increases fluid motion and thickens the momentum boundary layer, permeability makes flow and convective transport difficult. Shear stress and heat transport are considerably changed by velocity and thermal slip. Larger bioconvection Schmidt numbers decrease the dispersion of microorganisms; thermophoresis and Brownian motion aid in their movement. Additionally, the skin friction coefficient increases as velocity slip increases, whereas the Nusselt number decreases with increased slip and porous resistance but improves in unsteady conditions. The work provides fresh perspectives on bioconvective systems, renewable energy, and thermal control.

Authors

Institutions

Publication Details

Journal
Engineering Reports
Published
2026-08-27
DOI
https://doi.org/10.1002/eng2.71020
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

Thermal and Bioconvective Modeling and Analysis of Unsteady Cu‐Water Nanofluid Flow through Porous Media with Gyrotactic Microorganisms

Mubashir Qayyum, Saraswati Acharya, Mazhar Hussain, Zara Iqbal
Engineering Reports
Nanofluid Flow and Heat Transfer
article

Thermal and Bioconvective Modeling and Analysis of Unsteady Cu‐Water Nanofluid Flow through Porous Media with Gyrotactic Microorganisms

Mubashir Qayyum, Saraswati Acharya, Mazhar Hussain, Zara Iqbal
article en

Abstract

ABSTRACT This study examined unsteady boundary layer flow of a nanofluid over an expanding sheet embedded in a Darcy porous medium, containing gyrotactic microorganisms. The model includes often‐overlooked factors like heat source effects, unsteadiness, buoyancy, slip conditions, and nanoparticle radius. The bvp4c technique in MATLAB is utilized to solve the governing PDEs numerically once converted into ODEs by utilizing similarity transformations. The findings indicate that while a higher volume fraction of nanoparticles raises temperature and thermal conductivity, it decreases velocity because of increased viscosity. Unsteadiness reduces surface temperature and enhances heat transmission. Larger nanoparticle radii, acting through relative viscosity, increase velocity and decrease temperature. In contrast to thermal buoyancy, which increases fluid motion and thickens the momentum boundary layer, permeability makes flow and convective transport difficult. Shear stress and heat transport are considerably changed by velocity and thermal slip. Larger bioconvection Schmidt numbers decrease the dispersion of microorganisms; thermophoresis and Brownian motion aid in their movement. Additionally, the skin friction coefficient increases as velocity slip increases, whereas the Nusselt number decreases with increased slip and porous resistance but improves in unsteady conditions. The work provides fresh perspectives on bioconvective systems, renewable energy, and thermal control.

Engineering ReportsVol. 8(9)
National University of Computer and Emerging Sciences (PK), Jadara University (JO), Kathmandu University (NP)
Affordable and clean energy
Openalex Percentile: Top 19%
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.

Thermal and Bioconvective Modeling and Analysis of Unsteady Cu‐Water Nanofluid Flow through Porous Media with Gyrotactic Microorganisms — Mubashir Qayyum, Saraswati Acharya, et al. · Engineering Reports (2026) | TGRS Research Map | TGRS