129
Views
11
CrossRef citations to date
0
Altmetric
Articles

Fractional Green–Naghdi theory for thermoelectric MHD

, &
Pages 631-644 | Received 24 Oct 2017, Accepted 20 Mar 2018, Published online: 13 Apr 2018
 

ABSTRACT

In this work, we use the Green–Naghdi theory of thermomechanics of continua to derive a linear theory of MHD thermoelectric fluid with fractional order of heat transfer. This theory permits propagation of thermal waves at finite speed. The one-dimensional model of the theory is applied to Stokes’ flow of unsteady incompressible fluid due to a moving flat plate in the presence of both heat sources and a transverse magnetic field. The problem was solved using the Laplace transform technique. The solution in the transformed domain is obtained by a direct approach. A numerical method based on a Fourier-series expansion is used for the inversion process. The thermoelectric effects with fractional parameter on the temperature and velocity fields are analyzed and discussed in detail with the aid of graphical illustrations.

Disclosure statement

No potential conflict of interest was reported by the authors.

Acknowledgments

The authors gratefully acknowledge the approval and the support of this research study by the grant number SCI-2017-1-7-F-7025 from the Deanship of Scientific Research in Northern Border University, Arar, KSA.

Additional information

Funding

This work was supported by Deanship of Scientific Research in Northern Border University, Arar, KSA [grant number SCI-2017–1-7-F-7025].

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 552.00 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.