| Turbulence modulation model for gas–particle flow based on probability density function approach |
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| 引用本文： | 王路,徐江荣. Turbulence modulation model for gas–particle flow based on probability density function approach[J]. 中国物理 B, 2017, 26(8): 84702-084702. DOI: 10.1088/1674-1056/26/8/084702 |
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| 作者姓名： | 王路 徐江荣 |
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| 作者单位： | 1.School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2.Department of Physics, Hangzhou Dianzi University, Hangzhou 310018, China |
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| 基金项目： | Project supported by the National Natural Science Foundation of China (Grant No. 51176044). |
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| 摘 要： | The paper focuses on the turbulence modulation problem in gas–particle flow with the use of probability density function(PDF) approach. By means of the PDF method, a general statistical moment turbulence modulation model without considering the trajectory difference between two phases is derived from the Navier–Stokes equations. A new turbulence production term induced by the dispersed-phase is analyzed and considered. Furthermore, the trajectory difference between two media is taken into account. Subsequently, a new k–ε turbulence modulation model in dilute particle-laden flow is successfully set up. Then, the changes to several terms, including the turbulence production, dissipation, and diffusion terms, are well described consequently. The promoted model provides a more probable explanation for the modification of particles on the turbulence. Finally, we applied the model to simulate a gas–particle turbulence flow case in a wall jet, and found that the simulation results agree well with the experimental data.
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| 收稿时间： | 2016-12-23 |
Turbulence modulation model for gas-particle flow based on probability density function approach |
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| Affiliation: | 1.School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2.Department of Physics, Hangzhou Dianzi University, Hangzhou 310018, China |
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| Abstract: | The paper focuses on the turbulence modulation problem in gas-particle flow with the use of probability density function (PDF) approach. By means of the PDF method, a general statistical moment turbulence modulation model without considering the trajectory difference between two phases is derived from the Navier-Stokes equations. A new turbulence production term induced by the dispersed-phase is analyzed and considered. Furthermore, the trajectory difference between two media is taken into account. Subsequently, a new k-ε turbulence modulation model in dilute particle-laden flow is successfully set up. Then, the changes to several terms, including the turbulence production, dissipation, and diffusion terms, are well described consequently. The promoted model provides a more probable explanation for the modification of particles on the turbulence. Finally, we applied the model to simulate a gas-particle turbulence flow case in a wall jet, and found that the simulation results agree well with the experimental data. |
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| Keywords: | turbulence modulation model PDF approach gas-particle flow turbulence flow |
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