A novel numerical simulation method to verify turbulence models for predicting flow patterns in control valves
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- ZENG Lifei
- Institute of Turbomachinery, Xi'an Jiaotong University
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- LIU Guanwei
- Institute of Turbomachinery, Xi'an Jiaotong University
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- MAO Jingru
- Institute of Turbomachinery, Xi'an Jiaotong University
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- YUAN Qi
- Institute of Turbomachinery, Xi'an Jiaotong University
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- WANG Shunsen
- Institute of Turbomachinery, Xi'an Jiaotong University
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- WEI Long
- Institute of Turbomachinery, Xi'an Jiaotong University
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- WANG Zhaoyang
- Institute of Turbomachinery, Xi'an Jiaotong University
説明
Control valves have been widely used in thermal and nuclear power plants to regulate the flow entering the turbine. The safety and stable operation of the turbine is threatened by the control valves' vibration and noise, which are directly related to the flow pattern. Many turbulence models have been used to show the mechanism in previous research, but few studies compared their abilities. In this study, four turbulence models, realizable k-ε, SST, DES based on SST and DES based on realizable k-ε, are selected to predict the flow pattern. A novel simulating method with a continuously changing pressure ratio is employed in the numerical simulation. Using a numerical method, the turbulence models are tested by two challenges in aerodynamic flow:(I)growth and separation of the boundary layer and (II)boundary layer reattachment. Compared to the traditional method with a constant pressure ratio, the new method offers more clear and credible results. The results are successfully verified by the sound mutation in the experiment. It is found that the DES based on the realizable k-ε model is the most powerful turbulence model for the two processes of boundary layer separation and reattachment.
収録刊行物
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- Journal of Fluid Science and Technology
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Journal of Fluid Science and Technology 10 (1), JFST0007-JFST0007, 2015
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282680222255360
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- NII論文ID
- 130005071366
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- ISSN
- 18805558
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可