SPP 2364: Autonomous processes in particle technology - Research and testing of concepts for model-based control of particulate processes

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The goal of the planned priority program is the research and testing of methods for autonomous process control in particle technology. The complexity of particulate products still prevents an independent adjustment of product properties without external intervention. The originality of the proposed project consists in the coupling of material and data flows of the respective basic operations with measurement technology, process dynamics and control to form a closed loop for an autonomous process. In the first phase, the focus will be on the process control of a single unit operation, while in a second phase, entire process chains consisting of several unit operations will be considered. This will make it possible for the first time to meet the desired property profiles of particulate products, including a high energy and raw material efficiency, at a high and safe level. With the completion of the proposed priority program, a new type of 'building block of scientific tools' (methods, algorithms, models, data structures and information architectures) will be available, which will allow reliable process control and also a transformation to new processes. The objects of investigation are multiphase processes in which solids or also fluid particles are processed. In the focus are the typical technical unit operations in engineering, e.g. processes of particle synthesis (gas phase synthesis, crystallization, precipitation...), methods of particle handling (comminution, agglomeration, separation...) or also processes for product formulation (extrusion, coating, drying, fluidized bed...). The processes themselves can be batch or continuous.Solutions for the described challenges are only possible in close cooperation between particle technological, control based and computer science oriented working groups. The promotion of young and female scientists is a special concern of the SPP, which is ensured by far reaching measures along the qualification cascade from PhD to professorship. Also a close cooperation with the national research data infrastructure (NFDI) is aspired.