Recent advances in the field of chemical process modelling have underscored the critical role of accurate parameter estimation and model optimisation. Robust models are essential to predict system ...

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

In smart manufacturing, timely and accurate data flow is critical. Manufacturers seek to monitor every step in their process to ensure optimal results. However, significant challenges include ...

Widespread in aerospace, laminated fiber-reinforced polymer matrix composites are also increasingly used in other sectors, including the automotive industry. The identification of optimal cutting ...