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Modeling of Sewage Sludge Flow in a Continuous Paddle Dryer

机译:连续桨式干燥机中污水污泥流的建模

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A model based on the theory of Markov chains has been developed to represent the residence time distribution (RTD) of municipal sewage sludge in a continuous paddle dryer. The flow of dry solids is described by a chain of n perfectly mixed cells, n corresponding to the number of paddles attached to the shaft. The transition probabilities between the cells are governed by two parameters: the parameter of internal recirculation, R, and the solids hold-up, Hu. In the absence of available correlation, both parameters are identified by fitting the model to experimental RTD data. The model demonstrates its ability to describe the sludge flow in a continuous lab-scale paddle dryer. A sensitivity analysis highlights that R is critical for the treatment uniformity while Hu controls the mean residence time and thus the final moisture content.
机译:已经建立了基于马尔可夫链理论的模型来表示连续式桨叶式干燥机中城市污水污泥的停留时间分布(RTD)。干固体的流动由n个完全混合的单元链组成,n对应于连接到轴上的桨的数量。单元之间的过渡概率受两个参数控制:内部再循环参数R和固体滞留率Hu。在没有可用相关性的情况下,通过将模型拟合到实验RTD数据来识别两个参数。该模型展示了其描述连续实验室规模桨式干燥机中污泥流量的能力。敏感性分析表明,R对于处理均匀性至关重要,而Hu控制平均停留时间,从而控制最终水分含量。

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