Irreversibility minimization analysis of ferromagnetic Oldroyd-B nanofluid flow under the influence of a magnetic dipole.


Journal

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

Informations de publication

Date de publication:
26 02 2021
Historique:
received: 18 10 2020
accepted: 12 02 2021
entrez: 27 2 2021
pubmed: 28 2 2021
medline: 28 2 2021
Statut: epublish

Résumé

Studies highlighting nanoparticles suspensions and flow attributes in the context of their application are the subject of current research. In particular, the utilization of these materials in biomedical rheological models has gained great attention. Magneto nanoparticles have a decisive role in the ferrofluid flows to regulate their viscoelastic physiognomies. Having such substantial interest in the flow of ferrofluids our objective is to elaborate the melting heat transfer impact in a stretched Oldroyd-B flow owing to a magnetic dipole in the presence of entropy generation optimization. Buongiorno nanofluid model expounding thermophoretic and Brownian features are considered. Moreover, activation energy with chemical reaction is also considered. The Cattaneo-Christov heat flux model is affianced instead of conventional Fourier law. The renowned bvp4c function of MATLAB is utilized to handle the nonlinearity of the system. Impacts of miscellaneous parameters are portrayed through graphical fallouts and numeric statistics. Results divulge that the velocity and temperature profiles show the opposite trend for growing estimates of the ferromagnetic parameter. It is also noticed that the temperature ratio parameter diminishes the entropy profile. Moreover, it is seen that the concentration profile displays a dwindling trend for the Brownian motion parameter and the opposite trend is witnessed for the thermophoretic parameter.

Identifiants

pubmed: 33637838
doi: 10.1038/s41598-021-84254-1
pii: 10.1038/s41598-021-84254-1
pmc: PMC7910595
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4810

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Auteurs

Muhammad Ramzan (M)

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

Fares Howari (F)

College of Natural and Health Sciences, Zayed University, 144543, Abu Dhabi, UAE.

Jae Dong Chung (JD)

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.

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