Homann modeling of Thermodynamic Optimization on yield-stress Nanofluid with radiation and bioconvection effects

The enquiry inspects the movement of bioconvection through a nanoliquid near the stagnant flow subject to a stretchable surface. The effects of convective flow condition, radiative flow with rate of heat generation/absorption and chemical reaction are considered in energy and concentration equations. A well-known Buongiorno’s the nanofluid model is applied to examine the effects of Brownian movement and thermophoresis characteristics. Irreversible analysis of the proposed system is also carried out. The modelled formulations having partial differential equations (PDEs) are transmuted through suitable transformations. Further, the set of transmuted ordinary differential equations (ODEs) can be employed by the analytical method recognised as the homotopic technique. The significance of numerous important variables in represented equations has been visually illustrated along with pertinent physical outcomes. The outcomes indicates that the rate of flow reduces due the rising values of Casson fluid variable (𝛾) while the Bejan profile is increasing with a bigger estimation of (𝛾). The augmentation in the thermal radiation (Rd) and Biot number (Bi) improved in the temperature field. However, reduction in motile density due to the larger magnitude of Bioconvection Lewis number (Lb). Comparison has been endeavored in the results of past publishing result.

Authors

Institutions

Publication Details

Journal
Modern Physics Letters B
Published
2026-02-24
DOI
https://doi.org/10.1142/s0217984926500922
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

Homann modeling of Thermodynamic Optimization on yield-stress Nanofluid with radiation and bioconvection effects

Sara I. Abdelsalam, Abdulkafi Mohammed Saeed, Farhan Ali, S. S. Zafar et al.
Modern Physics Letters B
Nanofluid Flow and Heat Transfer
article

Homann modeling of Thermodynamic Optimization on yield-stress Nanofluid with radiation and bioconvection effects

Sara I. Abdelsalam, Abdulkafi Mohammed Saeed, Farhan Ali, S. S. Zafar, Nehad Ali Shah, M. Faizan
article en

Abstract

The enquiry inspects the movement of bioconvection through a nanoliquid near the stagnant flow subject to a stretchable surface. The effects of convective flow condition, radiative flow with rate of heat generation/absorption and chemical reaction are considered in energy and concentration equations. A well-known Buongiorno’s the nanofluid model is applied to examine the effects of Brownian movement and thermophoresis characteristics. Irreversible analysis of the proposed system is also carried out. The modelled formulations having partial differential equations (PDEs) are transmuted through suitable transformations. Further, the set of transmuted ordinary differential equations (ODEs) can be employed by the analytical method recognised as the homotopic technique. The significance of numerous important variables in represented equations has been visually illustrated along with pertinent physical outcomes. The outcomes indicates that the rate of flow reduces due the rising values of Casson fluid variable (𝛾) while the Bejan profile is increasing with a bigger estimation of (𝛾). The augmentation in the thermal radiation (Rd) and Biot number (Bi) improved in the temperature field. However, reduction in motile density due to the larger magnitude of Bioconvection Lewis number (Lb). Comparison has been endeavored in the results of past publishing result.

Modern Physics Letters B
Twitter (United States) (US)
Openalex Percentile: Top 42%
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.