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The methodology is illustrated using a continuous crystallizer.
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The power of the population balance for analysis of crystallizers is demonstrated by its application to a continuous crystallizer.
In this contribution, a detailed model for a continuous crystallizer with fines dissolution is derived.
Two typical particulate process examples, a continuous crystallizer and a batch protein crystallizer, modeled by population balance models (PBMs), are considered.
For continuous particulate processes, we develop a hybrid predictive control strategy to stabilize a continuous crystallizer at an open-loop unstable steady-state.
Finally, the methodology is applied to the problem of constrained, actuator fault-tolerant stabilization of an unstable steady-state of a continuous crystallizer.
Finally, the implementation of the fault-tolerant control architecture on the particulate process is discussed and the proposed methodology is applied to the problem of robust fault-tolerant control of a continuous crystallizer with a fines trap.
Experimental data are recorded using a batch laboratory crystallizer equipped with a laser-backscattering device and an ultrasound probe measuring a chord length distribution and supersaturation, respectively.
Flower-like hydroxyapatite agglomerates formed on the upper side and lower side of an egg-shell membrane were intensively investigated using a uniquely designed crystallizer.
In the present study, using a crystallizer working at constant supersaturation with time, we determine the agglomeration kinetics of gibbsite as a function of different experimental parameters.
The CSD and kinetic data were determined experimentally using continuous MSMPR crystallizer running at steady state.
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