(208a) Process Design for Crystal Property Control, Using Model-Based Optimal Feedback Control
AIChE Spring Meeting and Global Congress on Process Safety
2020
2020 Virtual Spring Meeting and 16th GCPS
Frontiers in Particle Science and Technology
Crystallization
Tuesday, August 18, 2020 - 3:00pm to 3:30pm
Crystal properties such as size, shape, and form are critical to performance in downstream processes and final products. However, it is not straightforward to determine the process design and recipe required to generate target properties reliably. Three barriers are (1) the lack of understanding of the underlying crystallization process, (2) the stochastic nature of crystallization (especially nucleation), and (3) the limited availability of in situ sensors that measure crystal properties directly. Here we present an approach to controlling crystal properties using feedback control. The feedback policy is specifically calculated to achieve target properties, using a dynamic model of the process together with in situ sensors for feedback. If fundamental physical models are available, they can be used to calculate the policy, but empirical models learned from data can alternatively be used and may provide a more direct path to implementation of crystal property control.