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

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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.