|
| Predicting discharge coefficient of V-Cone flowmeter with four turbulence models |
| Received:May 23, 2007 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20095019 |
| KeyWord:V-Cone flowmeter Discharge coefficient CFD Turbulence model Eddy-viscosity models RSM Reynolds number |
| Author | Institution |
| 徐英 |
天津市过程检测与控制重点实验室,天津大学 电气与自动化工程学院,天津 |
| 吴经纬 |
天津市过程检测与控制重点实验室,天津大学 电气与自动化工程学院,天津 |
| 杨会峰 |
天津市过程检测与控制重点实验室,天津大学 电气与自动化工程学院,天津 |
| 张涛 |
天津市过程检测与控制重点实验室,天津大学 电气与自动化工程学院,天津 |
|
| Hits: 1538 |
| Download times: 1103 |
| Abstract: |
| With four turbulence models, like the standard k-ε, the RNG k-ε, the Realizable k-ε and the RSM(Reynolds Stress Model), the internal flow field of six V-Cone flowmeters with the same inside diameter, 100 mm, but varying from structure is simulated here. For three V-Cone flowmeters whose equivalent diameter ratio β equals 0.65, the average deviations between each of the predictions, which are computed by using different turbulence models, and the corresponding experimental results are 4.19％,2.84％,2.88％ and -0.822％ respectively; as for the other three V-Cone flowmeters whose β equals 0.85, the average deviations are 11.8％,9.62％,9.30％ and 4.76％ respectively. Based on these results, a conclusion can be obtained that RSM can predict the discharge coefficients of the V-Cone flowmeters more accurately and perform better than the other three eddy-viscosity models. Therefore, it is the most suitable turbulence model for numerical simulation of the internal flow field of V-Cone flowmeters and is good for its discharge coefficient prediction. |
|
|
|