Computation of nonlinear thermal radiation in magnetized nanofluid flow with entropy generation
•Thermal transport of magnetized nanofluid is investigated.•Flow is generation due to a stretching surface.•Entropy generation and nonlinear thermal radiation are considered.•Numerical solutions are developed through the shooting (bvp4c) technique. In engineering and manufacturing processes, heat tr...
Gespeichert in:
Veröffentlicht in: | Applied mathematics and computation 2022-06, Vol.423, p.126900, Article 126900 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Thermal transport of magnetized nanofluid is investigated.•Flow is generation due to a stretching surface.•Entropy generation and nonlinear thermal radiation are considered.•Numerical solutions are developed through the shooting (bvp4c) technique.
In engineering and manufacturing processes, heat transmission is unavoidable. Because of the two-part nanomaterials, the hybrid nanofluid has an efficient heat transfer approach which helps to increase the heat transport capacity of standard nanofluids. The flow, heat transport, and entropy of a high conductivity hybrid nanofluid and a stretching surface with velocity slip effects are investigated numerically in this study. The fluid model depicts understanding the thermodynamic efficiency of nanomaterials. The numerical framework for the hybrid nanofluid model is formed and similarity transformations are used to transform the PDEs into nonlinear ordinary differential equations. These equations are numerically calculated for different parameters in the computational tool MATLAB using the shooting (bvp4c) method. The most significant consequences of this investigation are the impacts of various physical flow parameters on the velocity, entropy and temperature profiles including the permeability parameter, velocity slip parameter, magnetic parameter, heat source-sink parameter, Biot number, volume fraction of nanoparticles, thermal radiation parameter, Brinkman number and temperature ratio parameter. For velocity, temperature, and entropy generation profiles, the magnetic parameter performs inversely. Moreover, the system's entropy generation profile is enriched with the incorporation of nanoparticles percentage by volume fraction of nanoparticles and Brinkman number. The authors confirm that all of their findings are unique and have not been previously published. |
---|---|
ISSN: | 0096-3003 1873-5649 |
DOI: | 10.1016/j.amc.2021.126900 |