This paper describes a simple model-free (ie, empirical) control strategy for crystal size
tuning in a continuously operated tubular crystallizer. The crystallizer is designed for a …

Representative mathematical modeling is essential for understanding the batch cooling
crystallization processes. Efficient process design and operation are relevant to achieving …

This study is concerned with enhanced model-based control of a continuous direct
compression pharmaceutical process. The control-loop performance is assessed in silico …

Large molecule protein crystals have shown significant benefits in the delivery of
biopharmaceuticals to achieve high stability, high concentration of active pharmaceutical …

Although many researchers have optimized the operation of seeded batch crystallization,
there remains little understanding of the effect of the choice of objective function on the …

As the widespread use of a batch crystallization process in many industries, finding an
optimal operating condition and effective control strategy are significant for improving …

A new formulation of the recent stochastic approach for the description of the particle‐size
distribution (PSD) time evolution in antisolvent crystal‐growth processes is presented. In this …

As the use of a batch crystallization process in several industrial applications is extensive,
finding an effective control strategy is important to improve the product quality, which is …

Biodiesel production improvement in batch transesterification process can be achieved by 2
strategies: optimization and nonlinear model based control. To modify optimal temperature …

Crystallization processes have been widely used for separation in many fields to provide a
high purity product. In this work, dynamic optimization and neural network (NN) have been …