Modelling and dynamic simulation of multistage particle cross-flow separations in a turbulent fluid flow

在本项目中，将通过优先级程序1679交联固体过程的动态模拟，对湍流流体中的多级颗粒横流分离进行实验和数值分析。这种分类和分级过程是相互关联的过程的典型元素，用于分离多种原材料，中间体和副产品以及几个工业分支中的废物。尽管其被证明具有良好的工艺效率，但仍存在一些未解决的加工问题。除了分离室中的波动气流和颗粒负荷外，还可能出现充分发展的随机过程动力学以及较差的过程性能（分离锐度）和产品质量。为了实现这些问题的可持续解决方案，重要的是开发物理建立的、多尺度的、实验验证和预测模型，这些模型可以很容易地集成到流程模拟工具中。在第一个资助期的研究成果的基础上，第一个资助期主要侧重于稳态过程的表征和固体材料的尺寸特性，作为主要的分离特征，第二个资助期开始研究瞬态子过程和固体材料密度对分离性能的影响，第三个资助期将用于分析不同颗粒形状对分离过程的影响。此外，固体材料的复杂属性分布和这些属性的瞬态变化将得到解决。设备本身内部的相关过程将通过通道性能的整体观察（分离实验）以及高分辨率测量方法来表征。此外，影响过程的参数将通过数值两相模拟来导出，这允许分离过程的变化，这对于实验执行来说可能太昂贵。这些参数将被用来开发一个包括整个过程的动力学模型。因此，本研究的主要目标是开发一个节能的，最佳的锯齿形设备设计和分离模型的推导。此外，该模型能够将设备的动力学和几何形状整合到现有工厂的工艺效率和产品质量的整体评估中。

Within this project the multistage particle cross-flow separation in a turbulent fluid flow will be analyzed experimentally and numerically, framed by the priority program 1679 Dynamic Simulation of cross-linked solid processes. This classification and grading process is a typical element of interlinked processes and used to separate a large variety of raw materials, intermediates, and by-products as well as wastes in several industrial branches. Despite its proven good process efficiency, several unsolved processing problems still exist. In addition to fluctuating air flows and particle loadings in the separation chamber, fully developed stochastic process dynamics as well as a poor process performance (separation sharpness) and product quality may appear.In order to achieve a sustainable solution of these problems, it is important to develop physically founded, multiscaled, experimentally validated and predictive models which can be easily integrated into flow-sheet simulation tools. With the results of the 1st funding period, which mainly focused on the characterization of the stationary process and the size property of the solid materials, acting as the dominating separation feature, and based on the 2nd funding period, in which it was started to investigate transient sub-processes and the influence of the density of the solid materials onto the separation performance, the 3rd funding period will be used to analyze the impact of varying particle shapes onto the separation process. Furthermore, complex property distributions of the solid materials and transient changes of these properties will be addressed. The involved processes inside the apparatus itself will be characterized by integral observations of the channel performance (separation experiments) as well as by highly resolving measurement methods. Additionally, parameters impacting the process will be derived by means of numerical two-phase-simulations, which allow for variations of the separation process which may be too costly for experimental execution. These parameters will then be used to develop a comprising dynamical model of the entire process.Hence, the main goal of this investigation is the development of an energy-efficient, optimal zigzag apparatus design and the derivation of a separation model. Additionally, this model enables the integration of the dynamics and the geometry of the apparatus into the global evaluation of the process efficiency and product quality of existing plants.