As a part of the Industry 4.0 initiative, the level of digitization in the process industry is increasing. Through a close link between analytics and dynamic modeling, digitization enables the optimization of processes and the model predictive control. In the field of solid‐liquid separation using centrifuges, the advancing digitization forces the development of methods for computational fluid dynamics (CFD) and short‐cut models to deepen process understanding and process intensification. CFD should be seen as support for experiments to develop suitable short‐cut models for the process simulation. Based on the prerequisites, this article describes the development of dynamic models and their application using the example of solid bowl centrifuges. Therefore, the particulate level is first addressed by discussing critical material properties. Afterwards, the developed numerical algorithms to investigate centrifuges on different time and length scales will be presented. Finally, the mathematical modeling on the process level by using short‐cut models is shown and discussed for decanter and tubular centrifuges.

中文翻译：

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固液分离中先进数字化的一个方面-固杯离心机的建模与仿真

作为工业4.0计划的一部分，过程工业中的数字化水平正在提高。通过分析与动态建模之间的紧密联系，数字化可以优化流程和模型预测控制。在使用离心机进行固液分离领域，不断发展的数字化推动了计算流体力学（CFD）和捷径模型方法的发展，从而加深了对工艺的理解和工艺强度。CFD应该被视为支持实验，以开发适用于过程仿真的捷径模型。基于前提条件，本文以固体碗式离心机为例介绍动态模型的开发及其应用。因此，首先通过讨论关键的材料性能来解决颗粒物含量的问题。之后，将介绍开发的数值算法，以研究不同时间和长度范围内的离心机。最后，展示并讨论了使用short水器和管式离心机在过程水平上进行数学建模的方法。