Application of response surface methodology on the nanofluid flow over a rotating disk with autocatalytic chemical reaction and entropy generation optimization.


Journal

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

Informations de publication

Date de publication:
17 Feb 2021
Historique:
received: 03 11 2020
accepted: 11 01 2021
entrez: 18 2 2021
pubmed: 19 2 2021
medline: 19 2 2021
Statut: epublish

Résumé

The role of nanofluids is of fundamental significance in the cooling process of small electronic devices including microchips and other associated gadgets in microfluidics. With such astounding applications of nanofluids in mind, it is intended to examine the flow of magnetohydrodynamic nanofluid comprising a novel combination of multi-walled carbon nanotubes and engine oil over a stretched rotating disk. The concentration equation is modified by considering the autocatalytic chemical reaction. The succor of the bvp4c numerical technique amalgamated with the response surface methodology is secured for the solution of a highly nonlinear system of equations. The sensitivity analysis is performed using a response surface methodology. The significant impacts of the prominent arising parameters versus involved fields are investigated through graphical illustrations. It is observed that the skin friction coefficient and local Nusselt number are positively sensitive to nanoparticle volume fraction while it is positively sensitive to the suction parameter. It is negatively sensitive to the Magnetic parameter. The skin friction coefficient is negatively sensitive to all input parameters.

Identifiants

pubmed: 33597601
doi: 10.1038/s41598-021-81755-x
pii: 10.1038/s41598-021-81755-x
pmc: PMC7890068
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4021

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

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Auteurs

Tahir Mehmood (T)

School of Natural Sciences (SNS), National University of Sciences and Technology (NUST), Islamabad, Pakistan.

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.

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 & Technology, Changsha, 410114, People's Republic of China. chuyuming@zjhu.edu.cn.

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