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

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

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.

Keywords: turbulence modulation model PDF approach gas-particle flow turbulence flow

Received: 23 December 2016
Revised: 20 March 2017
Accepted manuscript online:

PACS:	47.11.-j	(Computational methods in fluid dynamics)
	47.55.-t	(Multiphase and stratified flows)
	47.55.Kf	(Particle-laden flows)

Fund:

Project supported by the National Natural Science Foundation of China (Grant No. 51176044).

Corresponding Authors: Jiang-rong Xu
E-mail: Jrxu@hdu.edu.cn

Cite this article:

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

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

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