Thermal conductivity evaluation of magnetized non-Newtonian nanofluid and dusty particles with thermal radiation

Abstract: The thermal conductivity of nanofluids (NFs) has emerged as a critical area of research due to its potential to enhance heat transfer in various industrial applications. Non-Newtonian NFs, in particular, exhibit unique flow characteristics under the influence of magnetic fields, making them suitable for systems requiring precise control of fluid dynamics, such as cooling systems in electronics and energy sectors. Owing to its usage, this article presents the magneto-Marangoni convective flow for fluid (phase-I), particle (phase-II), and propagation in tangent hyperbolic NF (copper–ethanol) containing maximum cell swimming speed. This study aims to evaluate the thermal conductivity of magnetized non-Newtonian NFs mixed with dusty particles in the presence of thermal radiation, exploring how magnetic fields and particle interactions affect overall thermal performance. The Gegenbauer wavelet collocation-based scheme was utilized to solve the model and investigate physical attributes such as plate friction, Nusselt number, Sherwood number, and mass flux. The results indicate that the species reaction field is increased by activation energy, whereas it is reduced by chemical reaction. Also, increasing values of thermal radiation tend to improve the heat distribution.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Thermal conductivity evaluation of magnetized non-Newtonian nanofluid and dusty particles with thermal radiation ; volume:43 ; number:1 ; year:2024 ; extent:17
High temperature materials and processes ; 43, Heft 1 (2024) (gesamt 17)

Creator
Hussain, Syed Modassir
Khan, Umair
Obalalu, Adebowale Martins
Zaib, Aurang

DOI
10.1515/htmp-2024-0063
URN
urn:nbn:de:101:1-2412011536175.623265296416
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:31 AM CEST

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Associated

  • Hussain, Syed Modassir
  • Khan, Umair
  • Obalalu, Adebowale Martins
  • Zaib, Aurang

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