Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy-Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 Oct 2020
Historique:
received: 11 07 2020
accepted: 28 09 2020
entrez: 15 10 2020
pubmed: 16 10 2020
medline: 16 10 2020
Statut: epublish

Résumé

The remarkable aspects of carbon nanotubes like featherweight, durability, exceptional electrical and thermal conduction capabilities, and physicochemical stability make them desirous materials for electrochemical devices. Having such astonishing characteristics of nanotubes in mind our aspiration is to examine the squeezing three dimensional Darcy-Forchheimer hydromagnetic nanofluid thin-film flow amid two rotating disks with suspended multiwalled carbon nanotubes (MWCNTs) submerged into the base fluid water. The analysis is done by invoking partial slip effect at the boundary in attendance of autocatalytic reactions. The mathematical model consists of axial and azimuthal momentum and magnetic fields respectively. The tangential and axial velocity profiles and components of the magnetic field are examined numerically by employing the bvp4c method for varying magnetic, rotational, and squeezing Reynolds number. The torque effect near the upper and lower disks are studied critically using their graphical depiction. The values of the torque at the upper and lower disks are obtained for rotational and squeezed Reynolds numbers and are found in an excellent concurrence when compared with the existing literature. Numerically it is computed that the torque at the lower disk is higher in comparison to the upper disk for mounting estimates of the squeezed Reynolds number and the dimensionless parameter for magnetic force in an axial direction. From the graphical illustrations, it is learned that thermal profile declines for increasing values of the squeezed Reynolds number.

Identifiants

pubmed: 33057044
doi: 10.1038/s41598-020-74142-5
pii: 10.1038/s41598-020-74142-5
pmc: PMC7560874
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17208

Subventions

Organisme : National Natural Science Foundation of China
ID : 11971142
Organisme : National Natural Science Foundation of China
ID : 11871202
Organisme : National Natural Science Foundation of China
ID : 61673169
Organisme : National Natural Science Foundation of China
ID : 11701176
Organisme : National Natural Science Foundation of China
ID : 11626101
Organisme : National Natural Science Foundation of China
ID : 11601485

Références

PLoS One. 2015 Aug 12;10(8):e0135004
pubmed: 26267247

Auteurs

Saima Riasat (S)

Department of Computer Science, Bahria University, Islamabad, 44000, Pakistan.

Muhammad Ramzan (M)

Department of Computer Science, Bahria University, Islamabad, 44000, Pakistan.
Department of Mechanical Engineering, Sejong University, Seoul, 143-747, Korea.

Seifedine Kadry (S)

Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, 115020, Lebanon.

Yu-Ming Chu (YM)

Department of Mathematics, Huzhou University, Huzhou, 313000, People's Republic of China. chuyuming@zjhu.edu.cn.
Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Changsha, 410114, People's Republic of China. chuyuming@zjhu.edu.cn.

Classifications MeSH