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在对工业提升管反应器气液固３ 相系统的数值模拟，得到原料液雾流动与气化状况的基础上，获得了气固两相的速度场、温度场和浓度场的详细信息， 并与两相模型的相应结果进行了对比。模拟结果表明， 提升管下部是最复杂的部分，气固两相流场、湍动能以及催化剂颗粒浓度场在轴向、径向和圆周方向都存在着较大的梯度。气固两相温度分布在３ 个坐标方向上是非常不均匀的， 但两相温差除喷嘴附近外均较小，反应结果表现出类似的不均匀分布形态。出口处反应温度和气相各组分浓度的计算值与工业数据吻合较好，说明模型对工业催化裂化提升管反应器流动反应状况的良好预测性，也验证了本研究的合理性和可靠性。与两相模型的结果对比发现， 各物理量的空间分布形态基本一致， 但在进料区域因对进料的模化方法不同而有一定差异。由于３相模型较真实地体现了原料气化过程及其影响，且出口计算结果更接近工业数据，故其预测性、合理性和可靠性都优于气固两相流动模型。
Based on the numerical simulation of the gas-liquid-solid 3-phase system of the industrial riser reactor and the flow and gasification conditions of the raw material liquid mist, the detailed information of the velocity field, the temperature field and the concentration field of the gas-solid two phase was obtained. The results of the two-phase model are compared. The simulation results show that the lower part of the riser is the most complicated part. The gas-solid two-phase flow field, the turbulent kinetic energy and the catalyst particle concentration field have large gradient in the axial, radial and circumferential directions. The gas-solid two-phase temperature distribution is very inhomogeneous in the three coordinate directions, but the temperature difference between the two phases is small except in the vicinity of the nozzle, and the reaction results show a similar inhomogeneous distribution. The calculated values of the reaction temperature and the concentrations of the components in the gas phase are in good agreement with the industrial data, which shows that the model predicts the predictability of the flow reaction of the riser reactor in the industrial FCC riser. The rationality and reliability of the study are also validated. Compared with the results of two-phase model, it is found that the spatial distribution patterns of each physical quantity are basically the same, but there is a certain difference in the feeding area due to different molding methods for the feedstock. Because the 3-phase model more faithfully reflects the gasification process of raw materials and its impact, and the export calculation results closer to the industrial data, its predictability, rationality and reliability are superior to the gas-solid two-phase flow model.