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Updated: Dec 2, 2025

Optimization of Crystal Growth for Neutron Macromolecular Crystallography
Published on: March 13, 2021
Multiobjective nonlinear model predictive control of pharmaceutical batch crystallizers
1Chemical Engineering Department, University of Puerto Rico, Mayaguez, Puerto Rico.
Abstract:
A rigorous multiobjective nonlinear model predictive control procedure is implemented in solving problems involving batch crystallizations. This technique does not involve the use of weighting functions and additional restrictive constraints. Three cases are considered. The first is the unseeded batch crystallization involving paracetamol, the second is the seeded batch crystallization concerning potassium nitrate while the third problem deals with a temperature controlled batch crystallizer that involves citric acid anyhydrate. The optimization language pyomo with GAMS interface is used to solve the problems.
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