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This paper presents a model predictive control (MPC) algorithm capable of controlling the evolution of particle size distributions used in aggregation/breakage processes such as granulation. High-shear wet granulation is an important aggregation/breakage process due to its ability to produce dense, spherical particles in a short amount of time. Problems(More)
This paper presents a simple granulation model using geometrically spaced bins in order to accommodate changes in particle size spanning many orders of magnitude. Assuming a particle size distribution measurement is available online using emerging measurement techniques, optimal modifications to the process input values are calculated using a constrained(More)
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