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Modelling of urea aggregation efficiency via particle tracking velocimetry in fluidized bed granulation

机译:流化床造粒中颗粒跟踪速度尿素聚集效率的建模

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摘要

This work presents a predictive model to estimate the particle size distribution (PSD) and aggregation efficiency of wet granulation of urea in top spray fluidized bed. To elucidate the model solution, the experimental granulation process of urea particles was performed. Urea particles with an average size of 250 mm, were charged and fluidized at the granulator by spraying a binder solution. Urea granule samples were withdrawn at different granulation time, and the respective particle size distributions were characterized using the sieving method. An empirical model for aggregation rate constant has been developed based on the experimental data at various operating conditions and used in population balance model to estimate the PSD. Furthermore, the model has been extended to determine aggregation efficiency using particle tracking velocimetry method (PTV). The developed model could be employed to estimate the urea granulation performance and kinetics in fluidized bed for design and scale-up purpose. (C) 2020 Elsevier Ltd. All rights reserved.
机译:该工作提出了一种预测模型,以估计顶部喷雾流化床中尿素湿法造粒的粒度分布(PSD)和聚集效率。为了阐明模型解决方案,进行尿素颗粒的实验造粒方法。平均尺寸为250mm的尿素颗粒通过喷射粘合剂溶液在造粒机中加入和流化。在不同的造粒时间下取出尿素颗粒样品,使用筛分方法表征各自的粒度分布。基于各种操作条件的实验数据开发了聚集率常数的经验模型,并用于人口平衡模型以估计PSD。此外,已经扩展了模型以使用粒子跟踪速度法(PTV)来确定聚集效率。可以使用开发的模型来估算流化床中的尿素造粒性能和动力学,用于设计和扩大目的。 (c)2020 elestvier有限公司保留所有权利。

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