The population balance equation provides a well established mathematical framework for
dynamic modeling of numerous particulate processes. Numerical solution of the population …

This paper illustrates the benefits of a nonlinear model-based predictive control (NMPC)
approach applied to an industrial crystallization process. This relevant approach proposes a …

This paper deals with the design of a model-based soft-sensor to improve the process
monitoring and control in industrial sugar crystallization. This soft-sensor is based on an …

A generic multi-dimensional modelling framework for crystallization processes has been
developed to study various aspects of batch cooling crystallization operations and modelling …

The uncertainty in crystallization kinetics is of major concern in manufacturing processes,
which can result in deterioration of most model‐based control strategies. In this study …

Minimization of operation costs and the enhancement in product quality have been major
concerns for all industrial processes. Predetermined operating conditions can help to …

The advantages of maximally transferring similar process data for modeling make the
process transfer model attract increasing attention in quality prediction and optimal control …

Seed load of crystallization has a direct effect on the product qualities. To further reveal the
effects of seed load on crystallization kinetics and improve the product size distribution, 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 …

The application of ultrasound to a crystallization process has several interesting benefits.
The temperature of the crystallizer increases during ultrasonication and this makes it difficult …