Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study
In this paper, we develop a model of 2D-double diffusive mixed convection boundary layer flow in magnetohydrodynamics Maxwell fluid induced by an inclined shrinking sheet. The suggested model is formulated by the controlling parameters such as mixed convection, suction, Brownian and thermophoreti...
| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/94397/ |
| _version_ | 1848861986147794944 |
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| author | Parvin, Shahanaz Mohamed Isa, Siti Suzilliana Putri Jamshed, Wasim Ibrahim, Rabha W. Nisar, Kottakkaran Sooppy |
| author_facet | Parvin, Shahanaz Mohamed Isa, Siti Suzilliana Putri Jamshed, Wasim Ibrahim, Rabha W. Nisar, Kottakkaran Sooppy |
| author_sort | Parvin, Shahanaz |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, we develop a model of 2D-double diffusive mixed convection boundary layer flow
in magnetohydrodynamics Maxwell fluid induced by an inclined shrinking sheet. The suggested
model is formulated by the controlling parameters such as mixed convection, suction, Brownian
and thermophoretic diffusion. Besides, the variation of Deborah number also affected the present
model. The sheet swiftness, wall heat, and concentration are expressed as an exponential function. The mathematical model is initially expressed as partial differential equations (PDEs), which
cover the aspects of momentum, energy, and concentration of Maxwell fluid. Subsequently, these
partial differential equations will be transformed into ordinary differential equations (ODEs). The
numerical technique, developed in MATLAB software and recognized as bvp4c program is
implemented to solve the final ODEs. Since the final numerical results are dual, the numerical
method to choose the most reliable solution in the real fluid state is implemented and is known as
stability analysis in bvp4c program. Finally, the numerical findings are structured in the
arrangement of tables and images. These results showed the characteristics of Maxwell fluid for
the various distributions, namely velocity, heat, and concentration outlines, joining the skinfrictional coefficient (SFC), local Nusselt, and Sherwood numbers. |
| first_indexed | 2025-11-15T13:09:50Z |
| format | Article |
| id | upm-94397 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:09:50Z |
| publishDate | 2021 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-943972023-04-05T02:19:46Z http://psasir.upm.edu.my/id/eprint/94397/ Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study Parvin, Shahanaz Mohamed Isa, Siti Suzilliana Putri Jamshed, Wasim Ibrahim, Rabha W. Nisar, Kottakkaran Sooppy In this paper, we develop a model of 2D-double diffusive mixed convection boundary layer flow in magnetohydrodynamics Maxwell fluid induced by an inclined shrinking sheet. The suggested model is formulated by the controlling parameters such as mixed convection, suction, Brownian and thermophoretic diffusion. Besides, the variation of Deborah number also affected the present model. The sheet swiftness, wall heat, and concentration are expressed as an exponential function. The mathematical model is initially expressed as partial differential equations (PDEs), which cover the aspects of momentum, energy, and concentration of Maxwell fluid. Subsequently, these partial differential equations will be transformed into ordinary differential equations (ODEs). The numerical technique, developed in MATLAB software and recognized as bvp4c program is implemented to solve the final ODEs. Since the final numerical results are dual, the numerical method to choose the most reliable solution in the real fluid state is implemented and is known as stability analysis in bvp4c program. Finally, the numerical findings are structured in the arrangement of tables and images. These results showed the characteristics of Maxwell fluid for the various distributions, namely velocity, heat, and concentration outlines, joining the skinfrictional coefficient (SFC), local Nusselt, and Sherwood numbers. Elsevier 2021-12 Article PeerReviewed Parvin, Shahanaz and Mohamed Isa, Siti Suzilliana Putri and Jamshed, Wasim and Ibrahim, Rabha W. and Nisar, Kottakkaran Sooppy (2021) Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study. Case Studies in Thermal Engineering, 28. art. no. 101383. pp. 1-13. ISSN 2214-157X https://www.sciencedirect.com/science/article/pii/S2214157X21005463?via%3Dihub 10.1016/j.csite.2021.101383 |
| spellingShingle | Parvin, Shahanaz Mohamed Isa, Siti Suzilliana Putri Jamshed, Wasim Ibrahim, Rabha W. Nisar, Kottakkaran Sooppy Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title | Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title_full | Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title_fullStr | Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title_full_unstemmed | Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title_short | Numerical treatment of 2D-Magneto double-diffusive convection flow of a Maxwell nanofluid: Heat transport case study |
| title_sort | numerical treatment of 2d-magneto double-diffusive convection flow of a maxwell nanofluid: heat transport case study |
| url | http://psasir.upm.edu.my/id/eprint/94397/ http://psasir.upm.edu.my/id/eprint/94397/ http://psasir.upm.edu.my/id/eprint/94397/ |