The clustering phenomenon is an important characteristic of fluidized bed systems, so much attention has been given to understanding such unstable, transient features through both experiments and simulations. A review has pointed out that, because of the interplay of multiple factors, relationships are at times unclear even within the same study. For such non-linear and multi-dimensional problems, machine learning tools are proficient. In this study, self-organizing map (SOM) analysis was harnessed to classify 1188 circulating fluidized bed (CFB) riser cluster datasets of Geldart Group B particles into potential smaller data assemblies, in order to determine the key influence(s) responsible for the demarcation. Two distinct data assemblies were identified, with one constituted by the monodisperse particle systems (i.e., three narrow particle size distributions (PSDs)), while the other by the non-monodisperse particle systems (i.e., two binary mixtures and one broad PSD). Specifically, the clusters formed by the non-monodisperse systems were distinctively smaller than those of monodisperse ones. This suggests that multiple particle types hindered the growth of clusters, which has been tied to hydrodynamic screening, unequal charging and unequal damping effects that are unique to particle mixtures. More studies are needed to unveil the underlying mechanisms of such different clusters between the monodisperse versus non-monodisperse particle systems.

聚集现象是流化床系统的重要特征，因此已经通过实验和模拟对引起这种不稳定的瞬态特征给予了极大的关注。一项评论指出，由于多个因素的相互作用，即使在同一项研究中，关系有时也不清楚。对于此类非线性和多维问题，机器学习工具是精通的。在这项研究中，利用自组织图（SOM）分析将Geldart B组颗粒的1188个循环流化床（CFB）立管簇数据集分类为潜在的较小数据集，以确定引起该过程的关键因素。划界。确定了两个不同的数据组合，其中一个由单分散粒子系统构成（即，三个窄的粒度分布（PSDs）），另一个则由非单分散的粒子系统（即两个二元混合物和一个宽的PSD）组成。具体而言，由非单分散体系形成的簇明显小于单分散体系的簇。这表明多种颗粒类型阻碍了团簇的生长，这与颗粒混合物特有的流体动力学筛选，不均等的电荷和不均等的阻尼效应有关。需要更多的研究来揭示单分散和非单分散颗粒系统之间这种不同簇的潜在机理。非单分散体系形成的团簇明显小于单分散体系。这表明多种颗粒类型阻碍了团簇的生长，这与颗粒混合物特有的流体动力学筛选，不均等的电荷和不均等的阻尼效应有关。需要更多的研究来揭示单分散和非单分散颗粒系统之间这种不同簇的潜在机理。非单分散体系形成的团簇明显小于单分散体系。这表明多种颗粒类型阻碍了团簇的生长，这与颗粒混合物特有的流体动力学筛选，不均等的电荷和不均等的阻尼效应有关。需要更多的研究来揭示单分散和非单分散颗粒系统之间这种不同簇的潜在机理。