Abstract Particle clusters are meso-scale structures that develop during gas-solid fluidization. The solid holdup by the clusters is an important feature which greatly influences the momentum transfer between the gas and particulate phases. An existing cluster solid holdup, esc, model was validated against solid volume fractions, es, measured in two CFB test rigs by an optical fiber probe. Then, modeling of an identification factor, n, for cluster identification was studied by analyzing the features of the es time series data. The data showed that n correlates with two higher-order moments, the skewness and the kurtosis, which were then used to establish a model for n. The model shows that n is not a constant as commonly reported, but increases to a maximum and then decreases with increasing time-averaged local solid volume fraction. This cluster identification criterion based on the model for n verifies the accuracy of the existing esc model.

中文翻译：

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流化过程中簇固含率模型的簇识别准则与实验验证

摘要 粒子簇是在气固流化过程中形成的中尺度结构。团簇的固体滞留量是一个重要的特征，它极大地影响了气相和颗粒相之间的动量传递。现有的簇固体滞留率 esc 模型针对固体体积分数 es 进行了验证，该固体体积分数是通过光纤探针在两个 CFB 测试台上测量的。然后，通过分析es时间序列数据的特征，研究了用于聚类识别的识别因子n的建模。数据显示，n 与两个高阶矩相关，偏度和峰度，然后用于建立 n 的模型。该模型表明，n 不是通常报道的常数，而是随着时间平均局部固体体积分数的增加而增加到最大值然后减小。