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Distribution of Particles Velocity in a Two-Phase Gas-Solid Vertical Flow

机译:气固两相垂直流中颗粒速度的分布

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Problems related to the mathematical modelling of the flow classification process are presented in this paper. The principle of a maximum statistical entropy value is used to describe the complex processes existing in two-phase gas-solid flows. This value corresponds to a state of equilibrium, characterised by the greatest probability. The model presented in this paper uses the Boltzmann equation to determine the function of the particle velocity distribution. A vertical gravitational classifier was the subject of the model. The chamber of the modelled classifier had a fixed cross-section. A constant stream of air was supplied to this chamber from below. The feed was gravitationally fed from above. Small particles of the feed rose on the air to the cyclone while the coarse particles dropped to the bottom of the classifying chamber. A distribution of particle velocities, analogous to Maxwell-Boltzmann distribution, was received from the theoretical analysis. A comparison of theoretical and experimental data is also presented.
机译:本文提出了与流分类过程的数学建模有关的问题。最大统计熵值的原理用于描述两相气固流中存在的复杂过程。该值对应于以最大概率为特征的平衡状态。本文提出的模型使用Boltzmann方程确定粒子速度分布的函数。垂直重力分类器是模型的主题。建模的分级器的腔室具有固定的横截面。从下面向该腔室提供恒定的空气流。从上方重力进料。进料中的小颗粒在空气中上升到旋风分离器,而粗颗粒则下降到分级室的底部。从理论分析中获得了类似于麦克斯韦-玻尔兹曼分布的粒子速度分布。还提供了理论和实验数据的比较。

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