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Asymptotic Properties of a Probabilistic-Statistical Model of Particle Classification in Hydrocyclones

机译:氢旋流酮颗粒分类概率统计模型的渐近特性

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The peculiarities of practical implementation of a probabilistic-statistical model for a hydrodynamic stage of particle classification process of liquid-solid polydisperse systems in cylinder-conic hydrocyclones of small size have been investigated. Within reasonable assumptions, stationary solutions of the Fokker-Planck-Kolmogorov kinetic equation were obtained for the considered separation process. In order to describe changes in characteristics of suspension separation in hydrocyclones it was proposed to use stationary distributions, which parameters depend not only on hydraulic and dynamic features of flows inside an apparatus, but also are determined by relative magnitudes of the impact of particle classification and centrifugal forces in comparison with the intensity of random perturbations.
机译:研究了小尺寸小尺寸圆柱 - 圆锥水力旋流素颗粒分类过程的水动力阶段概率统计模型的实际实施的特殊性。 在合理的假设内,获得了Fokker-Planck-Kolmogorov动力学方程的固定解决方案,用于考虑的分离过程。 为了描述液晶中悬浮液分离特性的变化,提出使用静止分布,该参数不仅取决于装置内部流动的液压和动态特征,还取决于颗粒分类的影响的相对幅度决定 与随机扰动强度相比离心力。

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