Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review
This paper focusses on three main numerical methods, i.e., the Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS) methods. The formulation and variation of different RANS methods are evaluated. The advantage and disadvantage of RANS models to c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Metals |
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| Online Access: | https://www.mdpi.com/2075-4701/11/8/1297 |
| _version_ | 1797522942348754944 |
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| author | Yannan Wang Lingling Cao Zhongfu Cheng Bart Blanpain Muxing Guo |
| author_facet | Yannan Wang Lingling Cao Zhongfu Cheng Bart Blanpain Muxing Guo |
| author_sort | Yannan Wang |
| collection | DOAJ |
| description | This paper focusses on three main numerical methods, i.e., the Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS) methods. The formulation and variation of different RANS methods are evaluated. The advantage and disadvantage of RANS models to characterize turbulent flows are discussed. The progress of LES with different subgrid scale models is presented. Special attention is paid to the inflow boundary condition for LES modelling. Application and limitation of the DNS model are described. Different experimental techniques for model validation are given. The consistency between physical experimentation/modelling and industrial cases is discussed. An emphasis is placed on the model validation through physical experimentation. Subsequently, the application of a turbulence model for three specific flow problems commonly encountered in metallurgical process, i.e., bubble-induced turbulence, supersonic jet transport, and electromagnetic suppression of turbulence, is discussed. Some future perspectives for the simulation of turbulent flow are formulated. |
| first_indexed | 2024-03-10T08:35:29Z |
| format | Article |
| id | doaj.art-c2a1fe7ca520445c9a7e70733ce5d30a |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-10T08:35:29Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-c2a1fe7ca520445c9a7e70733ce5d30a2023-11-22T08:42:29ZengMDPI AGMetals2075-47012021-08-01118129710.3390/met11081297Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A ReviewYannan Wang0Lingling Cao1Zhongfu Cheng2Bart Blanpain3Muxing Guo4Department of Materials Engineering, Katholieke Universiteit (KU) Leuven, 3000 Leuven, BelgiumDepartment of Materials Engineering, Katholieke Universiteit (KU) Leuven, 3000 Leuven, BelgiumDepartment of Materials Engineering, Katholieke Universiteit (KU) Leuven, 3000 Leuven, BelgiumDepartment of Materials Engineering, Katholieke Universiteit (KU) Leuven, 3000 Leuven, BelgiumDepartment of Materials Engineering, Katholieke Universiteit (KU) Leuven, 3000 Leuven, BelgiumThis paper focusses on three main numerical methods, i.e., the Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS) methods. The formulation and variation of different RANS methods are evaluated. The advantage and disadvantage of RANS models to characterize turbulent flows are discussed. The progress of LES with different subgrid scale models is presented. Special attention is paid to the inflow boundary condition for LES modelling. Application and limitation of the DNS model are described. Different experimental techniques for model validation are given. The consistency between physical experimentation/modelling and industrial cases is discussed. An emphasis is placed on the model validation through physical experimentation. Subsequently, the application of a turbulence model for three specific flow problems commonly encountered in metallurgical process, i.e., bubble-induced turbulence, supersonic jet transport, and electromagnetic suppression of turbulence, is discussed. Some future perspectives for the simulation of turbulent flow are formulated.https://www.mdpi.com/2075-4701/11/8/1297turbulence modellingRANS/LES/DNSinflow conditionmodel validationmodel application |
| spellingShingle | Yannan Wang Lingling Cao Zhongfu Cheng Bart Blanpain Muxing Guo Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review Metals turbulence modelling RANS/LES/DNS inflow condition model validation model application |
| title | Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review |
| title_full | Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review |
| title_fullStr | Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review |
| title_full_unstemmed | Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review |
| title_short | Mathematical Methodology and Metallurgical Application of Turbulence Modelling: A Review |
| title_sort | mathematical methodology and metallurgical application of turbulence modelling a review |
| topic | turbulence modelling RANS/LES/DNS inflow condition model validation model application |
| url | https://www.mdpi.com/2075-4701/11/8/1297 |
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