JOURNAL ARTICLE

Exploring thermal characteristics of Carreau-hybrid nanofluid (Ag–CuO/EG) in curved channels with convective boundaries.

  • Published In: Modern Physics Letters B, 2025, v. 39, n. 21. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Iqbal, Zafar; Ahmad, Imtiaz; Khan, Sami Ullah 3 of 3

Abstract

The transport phenomenon in the presence of magnetic field has diverse application in living structures, biotechnology and chemical and environmental engineering. Biomedical applications include the examples of computational biology, replacement of tissue, drug delivery, advance medical imaging, repairing of bones, complex liver and heart surgeries and kidney transplant. Motivated by the applications of magnetic in human physiology, peristaltic transport of Carreau-hybrid nanomaterial through a curved channel is studied. The hybrid nanofluid is supported with silver (Ag) and copper oxide (CuO) nanoparticles subject to ethylene glycol (EG) -based liquid. The complex wavy nature of physiological duct inspired to model the problem in complex wavy channel. The basic governing laws are utilized for mathematical modeling and dimensionless variables are used for the dimensionless formulation. The simplified pattern of governing problem has been revealed to the assumptions of long wavelength as well as creeping flow constricts. The computations are obtained by implanting the Newton–Dirichlet Solve (ND) algorithm. Comparative thermal observations are predicted for nanofluid (Ag/EG) and hybrid nanofluid (Ag–CuO/EG). The different flow and heat transfer features are plotted against the several involved parameters are presented graphically. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Modern Physics Letters B. 2025/07, Vol. 39, Issue 21, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2025
  • ISSN:0217-9849
  • DOI:10.1142/S0217984925500691
  • Accession Number:185260394
  • Copyright Statement:Copyright of Modern Physics Letters B 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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