APMF 21 is going virtual, join us online!
Advanced Process Modelling Forum 13 - 15 April
Traditionally, Model Predictive Controllers are trained using process data. which requires substantial time and material investment to execute the process response tests required for model development and validation. A more efficient approach is to employ digital design techniques to reduce the requirement for process run time during controller development.
Darren will discuss how attaching automation tools to a virtual plant can allow the evaluation of QbD, Machine learning and Advanced Process Control approaches in a risk-free, in-silico manner. A comparison of the information gained by each approach when applied to a flow chemistry process will be presented along with discussion on how this can translate into process knowledge.
To register for the event visit here
If you're not able to join the event or would like to speak with a member of the Perceptive - an Applied Materials company team directly please contact us
and read more about digital design and scale-up here
