Development of a Dimensionless Logistic Model for Predicting Cyclone Separation Efficiency
Development of a Dimensionless Logistic Model for Predicting Cyclone Separation Efficiency
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DOI：
10.1080/02786826.2010.512027
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发表时间：
2010-10
影响因子：
5.2
通讯作者：
Bingtao Zhao
中科院分区：
文献类型：
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作者：
Bingtao Zhao
为了预测旋风分离器的分离效率，采用基于量纲分析的逐步多元回归方法建立了半经验无因次多元Logistic模型。该模型可以表示为旋风分离器几何形状的特征无量纲数、气体流动的无量纲数称为雷诺数和颗粒动力学的无量纲数称为斯托克斯数的简单显式函数。模型系数根据Iozia和Leith(1990)的实验数据进行回归，其中包括旋风分离器几何参数、气固两相物理参数和操作参数的影响。结果表明，实验数据与模型预测值吻合较好，其均方误差(MSE)为0.62，测定效率(COD)为0.90。此外，通过与附加实验数据和几个流行的理论模型的比较发现，虽然本模型不能揭示旋风分离器内气固两相流动和分离的详细机理和过程，但它仍然可以用于预测旋风分离器的分离效率。
To predict the cyclone separation efficiency, a semi-empirical dimensionless multivariate logistic model is developed by stepwise multiple regression based on dimensional analysis. The model can be expressed as a simple explicit function of characterized dimensionless numbers for cyclone geometries, the dimensionless number for gas flow called Reynolds number and the dimensionless number for particle dynamics called Stokes number. The model coefficients are regressed according to the experimental data reported by Iozia and Leith (1990), which includes the effects of cyclone geometrical parameters, gas-particle physical parameters and operating parameters. The result indicates there is an agreement between the experimental data and model prediction with the mean squared error (MSE) of 0.62 and the efficient of determination (COD) of 0.90. Further, by the comparison with the additional experimental data as well as several popular theoretical models, it is found that although the present model can not reveal detailed mechanism and process of the gas-particle flow and separation in cyclones, it still is demonstrated to be useful and applicable to predict the cyclone separation efficiency.