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Heat Transfer in MHD Flow of Maxwell Fluid via Fractional Cattaneo-Friedrich Model: A Finite Difference Approach

by Muhammad Saqib, Hanifa Hanif, T. Abdeljawad, Ilyas Khan, Sharidan Shafie, Kottakkaran Sooppy Nisar

1 Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, 81310, Malaysia.
2 Department of Mathematics, Sardar Bahadur Khan Women’s University, Quetta, Pakistan.
3 Department of Mathematics and General Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia.
4 Department of Medical Research, China Medical University, Taichung, 40402, Taiwan.
5 Department of Computer Science and Information Engineering, Asia University, Taichung, 40402, Taiwan.
6 Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
7 Department of Mathematics, College of Arts and Sciences, Prince Sattam bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia.

* Corresponding Author: Ilyas Khan. Email: email.

Computers, Materials & Continua 2020, 65(3), 1959-1973. https://doi.org/10.32604/cmc.2020.011339

Abstract

The idea of fractional derivatives is applied to several problems of viscoelastic fluid. However, most of these problems (fluid problems), were studied analytically using different integral transform techniques, as most of these problems are linear. The idea of the above fractional derivatives is rarely applied to fluid problems governed by nonlinear partial differential equations. Most importantly, in the nonlinear problems, either the fractional models are developed by artificial replacement of the classical derivatives with fractional derivatives or simple classical problems (without developing the fractional model even using artificial replacement) are solved. These problems were mostly solved for steady-state fluid problems. In the present article, studied unsteady nonlinear nonNewtonian fluid problem (Cattaneo-Friedrich Maxwell (CFM) model) and the fractional model are developed starting from the fractional constitutive equations to the fractional governing equations; in other words, the artificial replacement of the classical derivatives with fractional derivatives is not done, but in details, the fractional problem is modeled from the fractional constitutive equations. More exactly two-dimensional magnetic resistive flow in a porous medium of fractional Maxwell fluid (FMF) over an inclined plate with variable velocity and the temperature is studied. The Caputo time-fractional derivative model (CFM) is used in the governing equations. The proposed model is numerically solved via finite difference method (FDM) along with L1-scheme for discretization. The numerical results are presented in various figures. These results indicated that the fractional parameters significantly affect the temperature and velocity fields. It is noticed that the temperature field increased with an increase in the fractional parameter. Whereas, the effect of fractional parameters is opposite on the velocity field near the plate. However, this trend became like that of the temperature profile, away from the plate. Moreover, the velocity field retarded with strengthening in the magnetic parameter due to enhancement in Lorentz force. However, this effect reverses in the case of the temperature profile.

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APA Style
Saqib, M., Hanif, H., Abdeljawad, T., Khan, I., Shafie, S. et al. (2020). Heat transfer in MHD flow of maxwell fluid via fractional cattaneo-friedrich model: A finite difference approach. Computers, Materials & Continua, 65(3), 1959-1973. https://doi.org/10.32604/cmc.2020.011339
Vancouver Style
Saqib M, Hanif H, Abdeljawad T, Khan I, Shafie S, Sooppy Nisar K. Heat transfer in MHD flow of maxwell fluid via fractional cattaneo-friedrich model: A finite difference approach. Comput Mater Contin. 2020;65(3):1959-1973 https://doi.org/10.32604/cmc.2020.011339
IEEE Style
M. Saqib, H. Hanif, T. Abdeljawad, I. Khan, S. Shafie, and K. Sooppy Nisar, “Heat Transfer in MHD Flow of Maxwell Fluid via Fractional Cattaneo-Friedrich Model: A Finite Difference Approach,” Comput. Mater. Contin., vol. 65, no. 3, pp. 1959-1973, 2020. https://doi.org/10.32604/cmc.2020.011339

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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