Turbulence modulation model for gas-particle flow based on probability density function approach

doi:10.1088/1674-1056/26/8/084702

中国物理B ›› 2017, Vol. 26 ›› Issue (8): 84702-084702.doi: 10.1088/1674-1056/26/8/084702

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

Turbulence modulation model for gas-particle flow based on probability density function approach

Lu Wang(王路), Jiang-rong Xu(徐江荣)

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

收稿日期:2016-12-23 修回日期:2017-03-20 出版日期:2017-08-05 发布日期:2017-08-05
通讯作者: Jiang-rong Xu E-mail:Jrxu@hdu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 51176044).

Turbulence modulation model for gas-particle flow based on probability density function approach

Lu Wang(王路)¹, Jiang-rong Xu(徐江荣)^1,2

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

Received:2016-12-23 Revised:2017-03-20 Online:2017-08-05 Published:2017-08-05
Contact: Jiang-rong Xu E-mail:Jrxu@hdu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 51176044).

摘要/Abstract

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.

关键词: turbulence modulation model, PDF approach, gas-particle flow, turbulence flow

Abstract:

Key words: turbulence modulation model, PDF approach, gas-particle flow, turbulence flow

中图分类号: (Computational methods in fluid dynamics)

47.11.-j

47.55.-t (Multiphase and stratified flows) 47.55.Kf (Particle-laden flows)

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.

Lu Wang(王路), Jiang-rong Xu(徐江荣). Turbulence modulation model for gas-particle flow based on probability density function approach[J]. Chin. Phys. B, 2017, 26(8): 84702-084702.

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Turbulence modulation model for gas-particle flow based on probability density function approach

Turbulence modulation model for gas-particle flow based on probability density function approach

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