Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach
The present paper explores the two-dimensional (2D) incompressible mixed-convection flow of magneto-hydrodynamic Eyring–Powell nanofluid through a nonlinear stretching surface in the occurrence of a chemical reaction, entropy generation, and Bejan number effects. The main focus is on the quantity of...
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MDPI AG
2022-05-01
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author | Salman Saleem Degavath Gopal Nehad Ali Shah Nosheen Feroz Naikoti Kishan Jae Dong Chung Saleha Safdar |
author_facet | Salman Saleem Degavath Gopal Nehad Ali Shah Nosheen Feroz Naikoti Kishan Jae Dong Chung Saleha Safdar |
author_sort | Salman Saleem |
collection | DOAJ |
description | The present paper explores the two-dimensional (2D) incompressible mixed-convection flow of magneto-hydrodynamic Eyring–Powell nanofluid through a nonlinear stretching surface in the occurrence of a chemical reaction, entropy generation, and Bejan number effects. The main focus is on the quantity of energy that is lost during any irreversible process of entropy generation. The system of entropy generation was examined with energy efficiency. The set of higher-order non-linear partial differential equations are transformed by utilizing non-dimensional parameters into a set of dimensionless ordinary differential equations. The set of ordinary differential equations are solved numerically with the help of the finite element method (FEM). The illustrative set of computational results of Eyring–Powell (E–P) flow on entropy generation, Bejan number, velocity, temperature, and concentration distributions, as well as physical quantities are influenced by several dimensionless physical parameters that are also presented graphically and in table-form and discussed in detail. It is shown that the Schemit number increases alongside an increase in temperature, but the opposite trend occurs in the Prandtl number. Bejan number and entropy generation decline with the effect of the concentration diffusion parameter, and the results are shown in graphs. |
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language | English |
last_indexed | 2024-03-10T01:02:13Z |
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series | Nanomaterials |
spelling | doaj.art-12d6cc1fe30942c3b382e0688bd03e542023-11-23T14:32:38ZengMDPI AGNanomaterials2079-49912022-05-011211181110.3390/nano12111811Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method ApproachSalman Saleem0Degavath Gopal1Nehad Ali Shah2Nosheen Feroz3Naikoti Kishan4Jae Dong Chung5Saleha Safdar6Department of Mathematics, College of Science, King Khalid University, Abha 61413, Saudi ArabiaDepartment of Mathematics, KG Reddy College of Engineering and Technology, Hyderabad 500075, IndiaDepartment of Mechanical Engineering, Sejong University, Seoul 05006, KoreaDepartment of Mathematics, Bacha Khan University, Charsadda P.O. Box 20, PakistanDepartment of Mathematics, Osmania University, Hyderabad 500007, IndiaDepartment of Mechanical Engineering, Sejong University, Seoul 05006, KoreaIndependent Researcher, Islamabad 44000, PakistanThe present paper explores the two-dimensional (2D) incompressible mixed-convection flow of magneto-hydrodynamic Eyring–Powell nanofluid through a nonlinear stretching surface in the occurrence of a chemical reaction, entropy generation, and Bejan number effects. The main focus is on the quantity of energy that is lost during any irreversible process of entropy generation. The system of entropy generation was examined with energy efficiency. The set of higher-order non-linear partial differential equations are transformed by utilizing non-dimensional parameters into a set of dimensionless ordinary differential equations. The set of ordinary differential equations are solved numerically with the help of the finite element method (FEM). The illustrative set of computational results of Eyring–Powell (E–P) flow on entropy generation, Bejan number, velocity, temperature, and concentration distributions, as well as physical quantities are influenced by several dimensionless physical parameters that are also presented graphically and in table-form and discussed in detail. It is shown that the Schemit number increases alongside an increase in temperature, but the opposite trend occurs in the Prandtl number. Bejan number and entropy generation decline with the effect of the concentration diffusion parameter, and the results are shown in graphs.https://www.mdpi.com/2079-4991/12/11/1811Bejan numberchemical reactionentropyEyring–Powell fluidfinite element method |
spellingShingle | Salman Saleem Degavath Gopal Nehad Ali Shah Nosheen Feroz Naikoti Kishan Jae Dong Chung Saleha Safdar Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach Nanomaterials Bejan number chemical reaction entropy Eyring–Powell fluid finite element method |
title | Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach |
title_full | Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach |
title_fullStr | Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach |
title_full_unstemmed | Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach |
title_short | Modelling Entropy in Magnetized Flow of Eyring–Powell Nanofluid through Nonlinear Stretching Surface with Chemical Reaction: A Finite Element Method Approach |
title_sort | modelling entropy in magnetized flow of eyring powell nanofluid through nonlinear stretching surface with chemical reaction a finite element method approach |
topic | Bejan number chemical reaction entropy Eyring–Powell fluid finite element method |
url | https://www.mdpi.com/2079-4991/12/11/1811 |
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