Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation
The focus of the current study is to analyze the non-similar solutions of natural convection transport of Casson fluid over a curved surface in the presence of a magnetic field, joule heating, and heat source. The flow of Casson fluid in the presence of a magnetic field has applications in bioengine...
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| Language: | English |
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Elsevier
2024-11-01
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| Series: | International Journal of Thermofluids |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666202724004130 |
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| author | Sami Ul Haq Muhammad Bilal Ashraf Arooj Tanveer |
| author_facet | Sami Ul Haq Muhammad Bilal Ashraf Arooj Tanveer |
| author_sort | Sami Ul Haq |
| collection | DOAJ |
| description | The focus of the current study is to analyze the non-similar solutions of natural convection transport of Casson fluid over a curved surface in the presence of a magnetic field, joule heating, and heat source. The flow of Casson fluid in the presence of a magnetic field has applications in bioengineering such as MRI, and artificial neural networks (ANNs) are used to optimize MRI images for better diagnostic results. Non-similar transformations are utilized for the conversion of governing equations into dimensionless partial differential equations (PDEs). The dimensionless system of partial differential equations is treated as a system of ordinary differential equations (ODEs) by utilizing the local nonsimilarity method. The solution of coupled ODEs is obtained through BVP4c. Additionally, velocity profile, temperature profile, and local Nusselt number are studied through the Levenberg-Marquardt method using an artificial neural network. A total of 400 datasets are taken, in which 70 % of this data is used for training and the remaining data is used for validation and testing for each case. The results indicate that velocity is decreasing for both Hartman number and Casson parameter. Fluid temperature is increased for the Grashof number, Casson parameter, and nonlinear radiation parameter. The comparison of artificial neural network (ANN) results with numerically computed results has also shown convergence and good accuracy of the obtained results. The ANN predicted values of skin friction and Nusselt number show stability and convergence with high accuracy. |
| format | Article |
| id | doaj-art-e26712482a4c4be2b626a90e50e851e2 |
| institution | DOAJ |
| issn | 2666-2027 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Thermofluids |
| spelling | doaj-art-e26712482a4c4be2b626a90e50e851e22025-08-20T02:50:16ZengElsevierInternational Journal of Thermofluids2666-20272024-11-012410097310.1016/j.ijft.2024.100973Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipationSami Ul Haq0Muhammad Bilal Ashraf1Arooj Tanveer2Corresponding author.; Department of Mathematics, COMSATS University Islamabad (CUI), 45550, Park Road, Tarlai Kalan, Islamabad, PakistanDepartment of Mathematics, COMSATS University Islamabad (CUI), 45550, Park Road, Tarlai Kalan, Islamabad, PakistanDepartment of Mathematics, COMSATS University Islamabad (CUI), 45550, Park Road, Tarlai Kalan, Islamabad, PakistanThe focus of the current study is to analyze the non-similar solutions of natural convection transport of Casson fluid over a curved surface in the presence of a magnetic field, joule heating, and heat source. The flow of Casson fluid in the presence of a magnetic field has applications in bioengineering such as MRI, and artificial neural networks (ANNs) are used to optimize MRI images for better diagnostic results. Non-similar transformations are utilized for the conversion of governing equations into dimensionless partial differential equations (PDEs). The dimensionless system of partial differential equations is treated as a system of ordinary differential equations (ODEs) by utilizing the local nonsimilarity method. The solution of coupled ODEs is obtained through BVP4c. Additionally, velocity profile, temperature profile, and local Nusselt number are studied through the Levenberg-Marquardt method using an artificial neural network. A total of 400 datasets are taken, in which 70 % of this data is used for training and the remaining data is used for validation and testing for each case. The results indicate that velocity is decreasing for both Hartman number and Casson parameter. Fluid temperature is increased for the Grashof number, Casson parameter, and nonlinear radiation parameter. The comparison of artificial neural network (ANN) results with numerically computed results has also shown convergence and good accuracy of the obtained results. The ANN predicted values of skin friction and Nusselt number show stability and convergence with high accuracy.http://www.sciencedirect.com/science/article/pii/S2666202724004130Non-similar solutionCasson fluidLMS-ANNNonlinear radiationCurved surface |
| spellingShingle | Sami Ul Haq Muhammad Bilal Ashraf Arooj Tanveer Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation International Journal of Thermofluids Non-similar solution Casson fluid LMS-ANN Nonlinear radiation Curved surface |
| title | Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation |
| title_full | Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation |
| title_fullStr | Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation |
| title_full_unstemmed | Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation |
| title_short | Artificial neural network analysis of natural convection of Casson fluid flow over a curved stretching surface with viscous dissipation |
| title_sort | artificial neural network analysis of natural convection of casson fluid flow over a curved stretching surface with viscous dissipation |
| topic | Non-similar solution Casson fluid LMS-ANN Nonlinear radiation Curved surface |
| url | http://www.sciencedirect.com/science/article/pii/S2666202724004130 |
| work_keys_str_mv | AT samiulhaq artificialneuralnetworkanalysisofnaturalconvectionofcassonfluidflowoveracurvedstretchingsurfacewithviscousdissipation AT muhammadbilalashraf artificialneuralnetworkanalysisofnaturalconvectionofcassonfluidflowoveracurvedstretchingsurfacewithviscousdissipation AT aroojtanveer artificialneuralnetworkanalysisofnaturalconvectionofcassonfluidflowoveracurvedstretchingsurfacewithviscousdissipation |