Entropy Generation in the Magnetohydrodynamic Jeffrey Nanofluid Flow Over a Stretching Sheet with Wide Range of Engineering Application Parameters

被引：0
作者：
Mabood F. [1 ]
Fatunmbi E.O. [2 ]
Benos L. [3 ]
Sarris I.E. [4 ]
机构：
[1] Department of Information Technology, Fanshawe College, London, ON
[2] Department of Mathematics and Statistics, Federal Polytechnic, Ilaro
[3] Institute for Bio-Economy and Agri-Technology (IBO), Centre of Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd, Thessaloniki
[4] Department of Mechanical Engineering, University of West Attica, Athens
来源：
International Journal of Applied and Computational Mathematics | 2022年 / 8卷 / 3期
基金：
英国科研创新办公室;
关键词：
Activation energy; Brownian motion; Chemical reaction; Entropy generation; Nonlinear thermal radiation; Thermophoresis;
D O I：
10.1007/s40819-022-01301-9
中图分类号：
学科分类号：
摘要：
The minimization of entropy generation can be used towards the optimization of various engineering systems. Considering the increasing interest in non-Newtonian flows within boundary layers due to moving boundaries and in nanofluids, as a means of enhancing the thermal performance, a comprehensive study is presented aiming at optimizing such thermal systems. In particular, this numerical study deals with the entropy generation pertaining to a two-dimensional permeable stretching sheet consisting of a Jeffrey nanofluid subject to different parameters that can be utilized in real processes. Thus, the effects of an externally applied magnetic field, nonlinear thermal radiation, Brownian motion, thermophoresis, activation energy and nanoparticles concentration is investigated on the fluid flow, temperature field and entropy generation. The governing equations are reduced to ordinary differential equations via similarity transformation and solved numerically by using the Runge–Kutta–Fehlberg method along with shooting method. The results demonstrated entropy minimization can be accomplished by decreasing magnetic field, Prandtl, Eckert and Schmidt numbers as well as nanoparticle volume fraction. It is expected that the present analysis would be particularly useful in a broad range of engineering problems where such formulation can be applied. © 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited.
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