On Thermal Distribution for Darcy-Forchheimer Flow of Maxwell Sutterby Nanofluids over a Radiated Extending Surface
Author | Wang, Wen |
Author | Jaradat, Mohammed M. M. |
Author | Siddique, Imran |
Author | Mousa, Abd Allah A. |
Author | Abdal, Sohaib |
Author | Mustafa, Zead |
Author | Ali, Hafiz M. |
Available date | 2023-06-07T08:16:37Z |
Publication Date | 2022 |
Publication Name | Nanomaterials |
Resource | Scopus |
Abstract | This study addresses thermal transportation associated with dissipated flow of a Maxwell Sutterby nanofluid caused by an elongating surface. The fluid passes across Darcy-Forchheimer sponge medium and it is affected by electromagnetic field applied along the normal surface. Appro-priate similarity transforms are employed to convert the controlling partial differential equations into ordinary differential form, which are then resolved numerically with implementation of Runge-Kutta method and shooting approach. The computational analysis for physical insight is attempted for varying inputs of pertinent parameters. The output revealed that the velocity of fluid for shear thickening is slower than that of shear thinning. The fluid temperature increases directly with Eckert number, and parameters of Cattaneo-Christov diffusion, radiation, electric field, magnetic field, Brownian motion and thermophoresis. The Nusselt number explicitly elevated as the values of radiation and Hartmann number, as well as Brownian motion, improved. The nanoparticle volume fraction diminishes against Prandtl number and Lewis number. 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Sponsor | Acknowledgments: This Research was supported by Taif University Researchers Supporting Project Number (TURSP-2020/48), Taif University, Taif, Saudi Arabia. |
Language | en |
Publisher | MDPI |
Subject | Cattaneo- Christov diffusion Darcy-Forchheimer electric field Maxwell fluid nanofluid Sutterby fluid |
Type | Article |
Issue Number | 11 |
Volume Number | 12 |
Files in this item
This item appears in the following Collection(s)
-
Mathematics, Statistics & Physics [740 items ]