Abstract

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.

Details

Title
Irreversibility minimization analysis of ferromagnetic Oldroyd-B nanofluid flow under the influence of a magnetic dipole
Author
Ramzan Muhammad 1 ; Fares, Howari 2 ; Chung Jae Dong 3 ; Kadry Seifedine 4 ; Yu-Ming, Chu 5 

 Bahria University, Department of Computer Science, Islamabad, Pakistan (GRID:grid.444787.c) (ISNI:0000 0004 0607 2662); Sejong University, Department of Mechanical Engineering, Seoul, Korea (GRID:grid.263333.4) (ISNI:0000 0001 0727 6358) 
 Zayed University, College of Natural and Health Sciences, Abu Dhabi, UAE (GRID:grid.444464.2) (ISNI:0000 0001 0650 0848) 
 Sejong University, Department of Mechanical Engineering, Seoul, Korea (GRID:grid.263333.4) (ISNI:0000 0001 0727 6358) 
 Beirut Arab University, Department of Mathematics and Computer Science, Faculty of Science, Beirut, Lebanon (GRID:grid.18112.3b) (ISNI:0000 0000 9884 2169) 
 Huzhou University, Department of Mathematics, Huzhou, People’s Republic of China (GRID:grid.411440.4) (ISNI:0000 0001 0238 8414); Changsha University of Science and Technology, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha, People’s Republic of China (GRID:grid.440669.9) (ISNI:0000 0001 0703 2206) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2493705497
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.