Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network
This communication highlights the thermal characterization of Ree-Eyring fluid with entropy generation and nonlinear heat source/sink confined by double rotating disk. The classical significances of Joule heating and homogenous/heterogeneous chemical reactions are incorporated. The importance of por...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682100586X |
| _version_ | 1818149963552522240 |
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| author | Faris Alzahrani M. Ijaz Khan |
| author_facet | Faris Alzahrani M. Ijaz Khan |
| author_sort | Faris Alzahrani |
| collection | DOAJ |
| description | This communication highlights the thermal characterization of Ree-Eyring fluid with entropy generation and nonlinear heat source/sink confined by double rotating disk. The classical significances of Joule heating and homogenous/heterogeneous chemical reactions are incorporated. The importance of porous medium is suggested by using the Darcy–Forchheimer expressions. Moreover, the slip effects are incorporated over double rotating disk. The problem is formulated in terms of differential expressions. The analytical procedure is adopted via homotopic procedure. The accuracy of results is confirmed. Moreover, a optimized model for Artificial neural network (ANN) is developed as a novelty. The insight dynamic of physical parameters is assessed with aims of several graphs. The entropy generation pattern and evaluation of Bejan number is predicted due to flow parameters. The graphical simulations worked out form current model reveal that the entropy generation rate improves with Weissenberg number as well as slip factor. The presence of higher order slip is also effective to enhance the Bejan number. |
| first_indexed | 2024-12-11T13:15:23Z |
| format | Article |
| id | doaj.art-9fcbc56683744748b747621f99f5895e |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-12-11T13:15:23Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-9fcbc56683744748b747621f99f5895e2022-12-22T01:06:04ZengElsevierAlexandria Engineering Journal1110-01682022-05-0161536793689Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural networkFaris Alzahrani0M. Ijaz Khan1Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Sciences, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi ArabiaDepartment of Mathematics and Statistics, Riphah International University I-14, Islamabad 44000, Pakistan; Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Sciences, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia; Corresponding author.This communication highlights the thermal characterization of Ree-Eyring fluid with entropy generation and nonlinear heat source/sink confined by double rotating disk. The classical significances of Joule heating and homogenous/heterogeneous chemical reactions are incorporated. The importance of porous medium is suggested by using the Darcy–Forchheimer expressions. Moreover, the slip effects are incorporated over double rotating disk. The problem is formulated in terms of differential expressions. The analytical procedure is adopted via homotopic procedure. The accuracy of results is confirmed. Moreover, a optimized model for Artificial neural network (ANN) is developed as a novelty. The insight dynamic of physical parameters is assessed with aims of several graphs. The entropy generation pattern and evaluation of Bejan number is predicted due to flow parameters. The graphical simulations worked out form current model reveal that the entropy generation rate improves with Weissenberg number as well as slip factor. The presence of higher order slip is also effective to enhance the Bejan number.http://www.sciencedirect.com/science/article/pii/S111001682100586XRee-Eyring nanofluidNonlinear heat source/sinkEntropy generatioDouble rotating disksArtificial Neural Networking |
| spellingShingle | Faris Alzahrani M. Ijaz Khan Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network Alexandria Engineering Journal Ree-Eyring nanofluid Nonlinear heat source/sink Entropy generatio Double rotating disks Artificial Neural Networking |
| title | Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network |
| title_full | Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network |
| title_fullStr | Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network |
| title_full_unstemmed | Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network |
| title_short | Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree-Eyring nanofluid due to double rotating disks with artificial neural network |
| title_sort | entropy generation and joule heating applications for darcy forchheimer flow of ree eyring nanofluid due to double rotating disks with artificial neural network |
| topic | Ree-Eyring nanofluid Nonlinear heat source/sink Entropy generatio Double rotating disks Artificial Neural Networking |
| url | http://www.sciencedirect.com/science/article/pii/S111001682100586X |
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