JOURNAL ARTICLE

Thermodynamics analysis for Darcy model induced by beating waves of cilia under Hall impact.

  • Published In: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2024, v. 38, n. 15. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Saleem, Maria; Liu, Haihu; Nadeem, Akif 3 of 3

Abstract

This study conducts the thermodynamics analysis of creeping viscous nanofluid influenced by metachronical waves in an inclined ciliated tube and investigates the effects of magnetic field, porous medium and Hall current. Moreover, heat transport analysis is performed to consider the viscous dissipation phenomena. Thermal conductivity of the fluid is made more effective by adopting water-based titanium dioxide nanoparticles. TiO 2 is chosen as it has many remarkable implications in nanobio-sensing, medical implants, drug delivery and antibacterial fields. The governing equations are formulated which are converted into ordinary differential system by taking into account the similarity variables. The analytical solution are obtained for momentum, pressure gradient and energy profiles. It is found that the entropy generation is an increasing function of the Eckert number, Prandtl number and dimensionless temperature difference. Both Darcy and Eckert numbers enhance the energy of flow system. The fluid velocity drops quickly with increasing magnetic parameter. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 2024/06, Vol. 38, Issue 15, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:0217-9792
  • DOI:10.1142/S021797922450187X
  • Accession Number:176912139
  • Copyright Statement:Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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