利用搭建的湍球塔实验装置,考察了操作气速、静床高度、喷淋液量、支承网开孔率和湍球直径等参数对湍球塔床层压降和液相含率的影响特性;运用因次分析π定理和偏最小二乘法,得到了液相含率的回归模型.引入前人Gel和V-Noakovic模型,并基于文献实验数据对各模型预测效果作了对比分析.结果表明,偏最小二乘法处理小容量液相含率样本和自变量强相关问题行之有效,用液相含率新模型预测两组文献实验数据的均方百分比误差分别为2.5%和3.1%,预测的精确度优于Gel和V-Noakovic模型,且新模型适用范围更大.偏最小二乘法用于湍球塔床层液相含率预测建模切实可行.%Hydrodynamics experiments were carried out in a pilot-scale turbulent contact absorber (TCA), and the effects of experimental parameters, such as operation gas velocity, static bed height, free open area of grid, ball diameter on bed pressure drop and liquid holdup were investigated. The liquid holdup regression model was presented using Buchingham π-theorem and partial least squares regression(PLSR) algorithm. Furthermore, the 2 liquid holdup models respectively proposed by Gel perin and V-Noakovic were cited, to compare with the new liquid holdup model. Then the 3 models were evaluated based on literature experimental data. The results showed that PLSR algorithm was effective in handling the samples with small capacity and variables with strong correlation. The accuracy and precision of the liquid holdup model by PLSR was better than those of the models cited from literature. By validating with 2 groups of experimental data in literature, the mean square errors(MSPE) of the new liquid holdup model were 2.5% and 3.1%, respectively. The accuracy and precision of predicting liquid holdup was better than those of Gel perin's and V-Noakovic's models, which indicated that the partial least-squares regression algorithm to predict TCA bed liquid holdup was feasible.
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