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Reduction of a model for single droplet drying and application to CFD of skim milk spray drying

机译:减少单滴干燥和应用于脱脂奶雾干燥的CFD的模型

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摘要

In this work, a novel methodology for the development of a high-accuracy computational fluid dynamics (CFD) model for the spray-drying process is described. Starting point is an own spatially resolving model of droplet/particle drying, which was developed and validated on the basis of a series of single droplet drying (SDD) experiments. This sophisticated model is transformed to a much simpler version: the characteristic drying curve approach, after running the full SDD model in a wide range of operating conditions. Then, the obtained reduced model is implemented into the CFD solver. The CFD spray-drying model takes into account the hydrodynamics of the continuous phase, particle drying kinetics, changes in the particle diameter, and the heat loss from the drying chamber to the environment. Validation of the entire procedure is provided by data obtained from drying experiments performed in a co-current laboratory spray tower. High accuracy of the developed CFD model of skim milk spray drying has been found for both phases, for the mean outlet temperature of the continuous phase (air) and for the change in average particle moisture content along the spray tower (discrete phase).
机译:在这项工作中,描述了一种用于开发用于喷雾干燥过程的高精度计算流体动力学(CFD)模型的新方法。起始点是自身空间分辨液滴/颗粒干燥模型,基于一系列单液滴干燥(SDD)实验开发和验证。这种复杂的模型转换为更简单的版本:特征干燥曲线方法,在各种操作条件下运行完整的SDD模型后。然后,获得所获得的减少的模型被实施到CFD求解器中。 CFD喷雾干燥模型考虑了连续相,颗粒干燥动力学,粒径变化的流体动力学,以及从干燥室到环境的热量损失。通过在加速实验室喷雾塔中进行的干燥实验获得的数据提供整个程序的验证。对于两个相,对于两个相,对于连续相(空气)的平均出口温度以及沿着喷雾塔(离散相)的平均颗粒含水量的变化,已经发现了脱脂乳喷雾干燥的高精度。

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