JOURNAL ARTICLE

Numerical Simulations of Heat and Mass Transfer Enhancement Over a Rotating Cone.

  • Published In: Heat Transfer, 2025, v. 54, n. 3. P. 1832 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zaman, Saquib Ul; Ahmad, Sameed 3 of 3

Abstract

In this work, we investigate the combined effects of heat and mass exchange on the time‐dependent convectional flow of a rheological nanofluid across a rotating cone. A numerical arrangement of nonlinear differential equations is obtained for spinning cones with separator temperature boundary conditions by similarity transformation. The effect of different parameters on the velocity, temperature, and concentration profiles are discussed. Tangential velocity is observed to decrease with an increase in the Deborah number, whereas it increases with increasing values of the angular velocity ratio, relaxation to the retardation time ratio, and buoyancy parameter. Expansion in the Prandtl number is noted to decrease the boundary‐layer temperature and thickness. Nusselt number and skin disunion observations are also considered. It is discovered that the Nusselt number expands by expanding the lightness parameter and Prandtl number, whereas it increases by decreasing the Deborah number. We also noticed that the Sherwood number falls incrementally in Deborah and Prandtl numbers, but it upsurges with an increase in the buoyancy parameter. The effect of parameters on temperature is graphically displayed, and the face shear stress tabulated values and heat shift rate are included in tables. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Heat Transfer. 2025/05, Vol. 54, Issue 3, p1832
  • Document Type:Article
  • Subject Area:Biography
  • Publication Date:2025
  • ISSN:2688-4534
  • DOI:10.1002/htj.23251
  • Accession Number:184321004
  • Copyright Statement:Copyright of Heat Transfer is the property of Wiley-Blackwell 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.