Thermal transport analysis for radiative entropy generated flow of Maxwell nanomaterial: Finite difference approach

Recently scientists have shown their keen interest for methods which minimize the loss of significant energy during irreversible process. Entropy generation is directly associated with degraded energy in a thermodynamic system. Thus, for improvement in system efficiency entropy optimization is obligatory. It plays significant role in thermal science and engineering. In view of such important applications here we scrutinize the numerical analysis of entropy generated magnetized flow of Maxwell nanoliquid. Motile microorganisms within presence of bioconvection is under consideration. Heat transmission under the characteristics of heat source, magnetohydrodynamics and radiation. Buongiorno model is employed for the enhancement of thermal transport of conventional liquid through random movement and thermophoresis factors. Nonlinear partial differential systems (PDEs) are developed through suitable variables. Numerical simulations of dimensionless systems (PDEs) are obtained through finite difference method (FDM). Physical results of influential variables like (heat generation, Peclet number, magnetic field, radiation, bioconvective Lewis number, thermophoresis, Prandtl number and Brownian motion variables) for velocity, entropy rate, nanoparticles concentration, temperature and microorganism field. Decay in liquid motion through magnetic field noticed. Similar characteristics for rate of entropy and temperature through radiation is witnessed.

Authors

Institutions

Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2024-09-23
DOI
https://doi.org/10.1016/j.jrras.2024.101121
Citations
9
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
1.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermal transport analysis for radiative entropy generated flow of Maxwell nanomaterial: Finite difference approach

Awatif Alhowaity, Muhammad Naveed Khan, Haneen Hamam, Muhammad Yasir et al.
9 citations
Journal of Radiation Research and Applied Sciences
Nanofluid Flow and Heat Transfer
1.66
article

Thermal transport analysis for radiative entropy generated flow of Maxwell nanomaterial: Finite difference approach

Awatif Alhowaity, Muhammad Naveed Khan, Haneen Hamam, Muhammad Yasir, Mohamed Hussien
article en
9 citations

Abstract

Recently scientists have shown their keen interest for methods which minimize the loss of significant energy during irreversible process. Entropy generation is directly associated with degraded energy in a thermodynamic system. Thus, for improvement in system efficiency entropy optimization is obligatory. It plays significant role in thermal science and engineering. In view of such important applications here we scrutinize the numerical analysis of entropy generated magnetized flow of Maxwell nanoliquid. Motile microorganisms within presence of bioconvection is under consideration. Heat transmission under the characteristics of heat source, magnetohydrodynamics and radiation. Buongiorno model is employed for the enhancement of thermal transport of conventional liquid through random movement and thermophoresis factors. Nonlinear partial differential systems (PDEs) are developed through suitable variables. Numerical simulations of dimensionless systems (PDEs) are obtained through finite difference method (FDM). Physical results of influential variables like (heat generation, Peclet number, magnetic field, radiation, bioconvective Lewis number, thermophoresis, Prandtl number and Brownian motion variables) for velocity, entropy rate, nanoparticles concentration, temperature and microorganism field. Decay in liquid motion through magnetic field noticed. Similar characteristics for rate of entropy and temperature through radiation is witnessed.

Journal of Radiation Research and Applied SciencesVol. 17(4)
Jiangsu University (CN), Quaid-i-Azam University (PK), Umm al-Qura University (SA), Jiangsu University of Science and Technology (CN), University of Jeddah (SA), King Khalid University (SA)
Openalex Percentile: Top 17%
Nanofluid Flow and Heat Transfer
1.66
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.