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Scale-up effect analysis and modeling of liquid–solid circulating fluidized bed risers using multigene genetic programming
Particuology ( IF 3.5 ) Pub Date : 2020-01-23 , DOI: 10.1016/j.partic.2019.12.003
Shaikh A. Razzak , Saddam A. Al-Hammadi , Syed M. Rahman , Mohammad R. Quddus , Mohammad M. Hossain , Jesse Zhu

Understanding scale-up effects on the hydrodynamics of a liquid‒solid circulating fluidized bed (LSCFB) unit requires both experimental and theoretical analysis. We implement multigene genetic programming (MGGP) to investigate the solid holdup and distribution in three LSCFB systems with different heights. In addition to data obtained here, we also use a portion of data sets of LSCFB systems developed by Zheng (1999) and Liang et al. (1996). Model predictions are in good agreement with the experimental data in both radial and axial directions and at different normalized superficial liquid and solid velocities. The radial profiles of the solid holdup are approximately identical at a fixed average cross-sectional solid holdup for the three LSCFB systems studied. Statistical performance indicators including the mean absolute percentage error (6.19%) and correlation coefficient (0.985) are within an acceptable range. The results suggest that a MGGP modeling approach is suitable for predicting the solid holdup and distribution of a scaled-up LSCFB system.



中文翻译:

应用多基因遗传规划的液固循环流化床提升管放大效应分析与建模

要了解放大对液固循环流化床(LSCFB)单元流体动力学的影响,需要进行实验和理论分析。我们实施多基因遗传规划(MGGP),以研究三个不同高度的LSCFB系统中的固相持留量和分布。除了这里获得的数据外,我们还使用了Zheng(1999)和Liang等人开发的LSCFB系统的部分数据集。(1996)。模型预测与径向和轴向以及在不同归一化的表观液体和固体速度下的实验数据非常吻合。对于所研究的三个LSCFB系统,在固定的平均横截面固含量下,固含量的径向轮廓大致相同。统计绩效指标包括平均绝对百分比误差(6。19%)和相关系数(0.985)在可接受的范围内。结果表明,MGGP建模方法适用于预测按比例放大的LSCFB系统的固含量和分布。

更新日期:2020-01-23
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