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Development of a Hybrid Turbulent Particle Dispersion Model and Implementation in the Gasflow Code.

Authors :
Xu, Zhanjie
Travis, John R.
Breitung, Wolfgang
Source :
Journal of Engineering for Gas Turbines & Power. Jan2009, Vol. 131 Issue 1, p9081-9086. 6p. 9 Graphs.
Publication Year :
2009

Abstract

Dust mobilization in a vacuum vessel is one of the key issues endangering the security of the International Thermonuclear Experimental Reactor (ITER) in case of loss of vacuum accidents. The turbulent behavior of particles in turbulent flows has to be modeled for successful numerical simulations about particle mobilization. In this study a Lagrangian approach is adopted to formulate the particle transport especially for dust-dilute flows mostly encountered in the vacuum vessel of ITER. Based on the logic frame of the approach and the used computational fluid dynamics (CFD) computer code in the study, a hybrid turbulent particle dispersion model is proposed. The hybrid model features both a deterministic separated flow model and a stochastic separated flow (SSF) model, which are two popular turbulent dispersion models applied in particle simulations, and takes the advantages of the both models. The proposed model is implemented into the particle model of the CFD code successfully and the simulation results are verified against the experimental data. The verifications manifest the validities of the proposed model. In this paper general information about the work of dust mobilization is introduced and the particle turbulent dispersion models are reviewed briefly at first. The hybrid model is then proposed based on the SSF model. An experiment about particle dispersions in an advective wind channel flow with decaying turbulence in the streamwise direction is reviewed in the third section. In the following section about model verification, the decaying turbulence parameters in the channel flow are verified against the experimental data as the first step, and the parameters about the particle dispersions in the verified flow field are then verified against the data. The work is concluded finally. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07424795
Volume :
131
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Engineering for Gas Turbines & Power
Publication Type :
Academic Journal
Accession number :
36167212
Full Text :
https://doi.org/10.1115/1.2983142