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Developing theory of probability density function for stochastic modeling of turbulent gas-particle flows

Applied Mathematics and Mechanics(English Edition) 2018年第7期39卷 1019-1030页

作者： Lixing ZHOU Department of Engineering Mechanics Tsinghua University

Turbulent gas-particle flows are studied by a kinetic description using a prob- ability density function （PDF）. Unlike other investigators deriving the particle Reynolds stress equations using the PDF equations, the particle PDF transport equations are di- rectly solved either using a finite-difference method for two-dimensional （2D） problems or using a Monte-Carlo （MC） method for three-dimensional （3D） problems. The proposed differential stress model together with the PDF （DSM-PDF） is used to simulate turbulent swirling gas-particle flows. The simulation results are compared with the experimental results and the second-order moment （SOM） two-phase modeling results. All of these simulation results are in agreement with the experimental results, implying that the PDF approach validates the SOM two-phase turbulence modeling. The PDF model with the SOM-MC method is used to simulate evaporating gas-droplet flows, and the simulation results are in good agreement with the experimental results.

关键词： probability density function(PDF)modeling turbulent flow gas-particleflow

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Preferential concentration in supersonic gas-particle two-phase transverse jets

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Particuology 2024年第11期94卷 29-47页

作者： Likun Ma Luxi Xu Kangchun Zhao Pengnian Yang Yunchao Feng Binbin Chen Zhixun Xia Hypersonic Technology Laboratory National University of Defense TechnologyChangsha410073China

The supersonic gas-particle two-phase transverse jet is a typical flow process in many applications,such as solid rocket *** study carried out experimental tests as well as Large Eddy Simulation(LES)to investigate the evolution process of transverse gas-particle two-phase jets in supersonic crossflow,especially focusing on the phenomena called preferential *** simulation is based on the Eulerian-Lagrangian method,which successfully reproduces the characteristic phenomena observed in *** particle cloud forms three different characteristic distribution patterns:tooth-like waves near the jet port,quasi-ordered structures near counter-rotating vortex pairs(CVP),and filamentous clouds in the upper *** turbulence and small unstable shock play a suppressing role in mixing small-diameter particles,which tend to aggregate in regions of high density and low ***,it is found that there exists a specific range of particle sizes,as particles'sizes approach this specific range,the influence of compressibility of the airflow on particle distribution becomes increasingly ***,this study shed some light on the understanding of the complex and intricate nature of the supersonic gas-particle two-phase transverse jet.

关键词： Supersonic Crossflow gas-particleflow Preferential concentration

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