Numerical solution of MHD slip flow of a nanofluid past a radiating plate with Newtonian heating : a lie group approach

Beg, OA; Uddin, MJ; Sohail, A; Ismail, AIM

Abstract

In this paper, we have examined the magnetohydrodynamic flow of a nanofluid past a radiating sheet. The Navier velocity slip, Newtonian heating and passively controlled wall boundary conditions are considered. The governing equations are reduced into similarity equations with the help of Lie group. A collocation method is used for simulation. The influence of emerging parameters on velocity, temperature, nanoparticle volumetric fraction profiles, as well as on local skin friction factor and local Nusselt number are illustrated in detail. It is found that the friction (heat transfer rate) is lower (higher) for passively controlled boundary conditions as compared to the case of an actively controlled boundary condition. The magnetic field decreases both the skin friction and the rate of heat transfer. The findings are validated with existing results and found an excellent agreement. The model explores new applications in solar collectors with direct solar radiative input using magnetic nanofluids.

Citation

Beg, O., Uddin, M., Sohail, A., & Ismail, A. (2017). Numerical solution of MHD slip flow of a nanofluid past a radiating plate with Newtonian heating : a lie group approach. Alexandria engineering journal : AEJ, 57(4), 2455-2464. https://doi.org/10.1016/j.aej.2017.03.025

• Journal Article Type: Article
• Acceptance Date: Mar 4, 2017
• Online Publication Date: Sep 29, 2017
• Publication Date: Sep 29, 2017
• Deposit Date: Mar 10, 2017
• Publicly Available Date: Mar 10, 2017
• Journal: Alexandria Engineering Journal
• Print ISSN: 1110-0168
• Publisher: Elsevier
• Volume: 57
• Issue: 4
• Pages: 2455-2464
• DOI: https://doi.org/10.1016/j.aej.2017.03.025
• Publisher URL: http://dx.doi.org/10.1016/j.aej.2017.03.025
• Related Public URLs: https://www.journals.elsevier.com/alexandria-engineering-journal/
• Additional Information: Funders : Universiti Sains Malaysia; Projects : Modelling of Nanofluids; Grant Number: RU grant 1001/PMATHS/811252