| International Journal of Technology | |
| Turbulence Models Application in Air Flow of Crossflow Turbine | |
| Ahmad Indra Siswantara1  Gun Gun R. Gunadi2  | |
| [1] Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia;Department of Mechanical Engineering, Politeknik Negeri Jakarta, Depok 16424, Indonesia | |
| 关键词: k-? model; RNG k-? model; Turbulent flow; | |
| DOI : 10.14716/ijtech.v9i7.2636 | |
| 学科分类:工程和技术(综合) | |
| 来源: Universitas Indonesia | |
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【 摘 要 】
Using the CFD method as the initial analysis for experiments has more benefits, including saving time and costs. The variable of flow parameters and geometry can be easily developed to get the desired results. However, research is needed to improve the accuracy of the results and the optimality of the calculation process; the study of complex turbulent flow modelling becomes very important. The k-? model and renormalization group (RNG) k-? model are widely used in research to produce the appropriate models and develop the constants value. This turbulent flow modelling research was conducted to improve the result accuracy and the calculation process optimality in the turbulent flow of crossflow turbine. Research was done by comparing the simulation results of k-? model with different constants and RNG k-? model. The k-? model with kinetic Prandtl 0.8, 0.9, 1, 1.1, 1.2 and the RNG k-? model show different results for predicting the average pressure and velocity distribution in the turbulent flow of crossflow turbine, and likewise for turbulent parameters. The RNG k-? model has more accuracy than the k-? model, although the k-? model’s simulation time is quite short. Therefore, complex fluid flow recommends RNG k-? model.
【 授权许可】
CC BY-NC-ND
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201910255470239ZK.pdf | 679KB |
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