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A 2D Markov chain for modelling powder mixing in alternately revolving static mixers of Sysmix~R type

机译:用于在Sysmix〜R型交替旋转静态混合器中模拟粉末混合的二维马尔可夫链

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摘要

A two-dimensional model of the flow and mixing of particulate solids has been developed on the basis of the Markov chain theory for an alternately revolving static mixer of Sysmix~R type. In such a system, mixing occurs in both vertical and horizontal directions. Simulations are presented here to investigate the effect of the initial loading of the components, as well as the effect of the values of the transition probabilities that constitute the main parameters of the model. It is shown that a horizontal arrangement of the components always leads to better mixture quality and improved mixing kinetics. This research is presented for non-segregating mixtures, as well as potentially segregating mixtures, for which the empirically well-known oscillations in variance are represented by the model. Results suggest that there is a rational way of approaching a static-mixing problem with regard to the initial loading of the component and the optimal number of revolutions. Comparison of model results with experimental data published previously for a Sysmix~R apparatus contributes to validating the viability of the model.
机译:基于马尔可夫链理论,针对Sysmix〜R型交替旋转静态混合器,建立了固体颗粒流动和混合的二维模型。在这样的系统中,在垂直和水平方向上都发生混合。这里提供了模拟,以研究组件初始加载的影响以及构成模型主要参数的转移概率值的影响。结果表明,各组分的水平排列总是导致更好的混合物质量和改善的混合动力学。这项研究是针对非隔离混合物以及潜在隔离混合物而提出的,为此,模型代表了经验上众所周知的方差振荡。结果表明,对于组件的初始载荷和最佳转数,存在一种解决静态混合问题的合理方法。将模型结果与先前为Sysmix®R仪器发布的实验数据进行比较有助于验证模型的可行性。

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