111
Views
5
CrossRef citations to date
0
Altmetric
Research Article

Magnetohydrodynamic flow and Hall current effects on a boundary layer flow and heat transfer over a three-dimensional stretching surface

, & ORCID Icon
Pages 938-946 | Received 20 Jun 2022, Accepted 28 Nov 2022, Published online: 24 Jan 2023
 

Abstract

The current investigation is being carried out to investigate the impacts of magnetohydrodynamic flow and hall current effects on boundary layer flow across a three-dimensional stretching surface. The governing equations are framed with reasonable assumptions, and appropriate similarity transformations are applied to convert a set of partial differential equations into ordinary differential equations. To solve the reduced equations, the Runge Kutta Fehlberg 4th 5th order technique is utilised. The results reveal that primary and secondary velocity improves with the velocity parameter and Eckert number decrease for the magnetic parameter. The improvement in the Grashof number will improve the primary velocity but a reverse trend is seen in the case of secondary velocity. The thermal profile improves with the magnetic parameter, the velocity parameter, and the Eckert number, but it degrades with the Grashof number. The rate of heat transmission increases with the magnetic parameter and the Eckert number, whereas it decreases with the remaining factors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 275.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.