In this dissertation, the use of optimal control methods for filtration is explored. By these methods, the design of depth filters is optimized in a first case study. The second case study considers optimization and optimal control of filter-aid filtration. For this purpose, a new mechanistic process model is derived. Based on systematic analogies, the transfer of the used methods to related applications is discussed and their role in a multi-scale approach to filter design and control is outlined.
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In this dissertation, the use of optimal control methods for filtration is explored. By these methods, the design of depth filters is optimized in a first case study. The second case study considers optimization and optimal control of filter-aid filtration. For this purpose, a new mechanistic process model is derived. Based on systematic analogies, the transfer of the used methods to related applications is discussed and their role in a multi-scale approach to filter design and control is outlin...
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