Mesh size refining for a simulation of flow around a generic train model
By using numerical simulation, vast and detailed information and observation of the physics of flow over a train model can be obtained. However, the accuracy of the numerical results is questionable as it is affected by grid convergence error. This paper describes a systematic method of computationa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Techno-Press, Ltd.
2018
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| Online Access: | http://eprints.uthm.edu.my/4997/1/AJ%202018%20%28808%29%20Mesh%20size%20refining%20for%20a%20simulation%20of%20flow%20around%20a%20generic%20train%20model.pdf |
| _version_ | 1825709945557876736 |
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| author | Ishak, I. A. Mat Ali, Mohamed Sukri Shaikh Salim, Sheikh Ahmad Zaki |
| author_facet | Ishak, I. A. Mat Ali, Mohamed Sukri Shaikh Salim, Sheikh Ahmad Zaki |
| author_sort | Ishak, I. A. |
| collection | UTHM |
| description | By using numerical simulation, vast and detailed information and observation of the physics of flow over a train model can be obtained. However, the accuracy of the numerical results is questionable as it is affected by grid convergence error. This paper describes a systematic method of computational grid refinement for the Unsteady Reynolds Navier-Stokes (URANS) of flow around a generic model of trains using the OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is investigated in this paper. This involves solutions on three different grid refinements, namely fine, medium, and coarse grids to investigate the effect of grid dependency. The level of grid independence is evaluated using a form of Richardson extrapolation and Grid Convergence Index (GCI). This is done by comparing the GCI results of various parameters between different levels of mesh resolutions. In this study, monotonic convergence criteria were achieved, indicating that the grid convergence error was progressively reduced. The fine grid resolution’s GCI value was less than 1%. The results from a simulation of the finest grid resolution, which includes pressure coefficient, drag coefficient and flow visualization, are presented and compared to previous available data. |
| first_indexed | 2024-03-05T21:50:06Z |
| format | Article |
| id | uthm.eprints-4997 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:50:06Z |
| publishDate | 2018 |
| publisher | Techno-Press, Ltd. |
| record_format | dspace |
| spelling | uthm.eprints-49972022-01-03T04:41:24Z http://eprints.uthm.edu.my/4997/ Mesh size refining for a simulation of flow around a generic train model Ishak, I. A. Mat Ali, Mohamed Sukri Shaikh Salim, Sheikh Ahmad Zaki TJ Mechanical engineering and machinery TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) By using numerical simulation, vast and detailed information and observation of the physics of flow over a train model can be obtained. However, the accuracy of the numerical results is questionable as it is affected by grid convergence error. This paper describes a systematic method of computational grid refinement for the Unsteady Reynolds Navier-Stokes (URANS) of flow around a generic model of trains using the OpenFOAM software. The sensitivity of the computed flow field on different mesh resolutions is investigated in this paper. This involves solutions on three different grid refinements, namely fine, medium, and coarse grids to investigate the effect of grid dependency. The level of grid independence is evaluated using a form of Richardson extrapolation and Grid Convergence Index (GCI). This is done by comparing the GCI results of various parameters between different levels of mesh resolutions. In this study, monotonic convergence criteria were achieved, indicating that the grid convergence error was progressively reduced. The fine grid resolution’s GCI value was less than 1%. The results from a simulation of the finest grid resolution, which includes pressure coefficient, drag coefficient and flow visualization, are presented and compared to previous available data. Techno-Press, Ltd. 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4997/1/AJ%202018%20%28808%29%20Mesh%20size%20refining%20for%20a%20simulation%20of%20flow%20around%20a%20generic%20train%20model.pdf Ishak, I. A. and Mat Ali, Mohamed Sukri and Shaikh Salim, Sheikh Ahmad Zaki (2018) Mesh size refining for a simulation of flow around a generic train model. Wind and Structures, 24 (3). pp. 223-247. ISSN 1598-6225 |
| spellingShingle | TJ Mechanical engineering and machinery TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) Ishak, I. A. Mat Ali, Mohamed Sukri Shaikh Salim, Sheikh Ahmad Zaki Mesh size refining for a simulation of flow around a generic train model |
| title | Mesh size refining for a simulation of flow around a generic train model |
| title_full | Mesh size refining for a simulation of flow around a generic train model |
| title_fullStr | Mesh size refining for a simulation of flow around a generic train model |
| title_full_unstemmed | Mesh size refining for a simulation of flow around a generic train model |
| title_short | Mesh size refining for a simulation of flow around a generic train model |
| title_sort | mesh size refining for a simulation of flow around a generic train model |
| topic | TJ Mechanical engineering and machinery TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) |
| url | http://eprints.uthm.edu.my/4997/1/AJ%202018%20%28808%29%20Mesh%20size%20refining%20for%20a%20simulation%20of%20flow%20around%20a%20generic%20train%20model.pdf |
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