The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

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 ...

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...

Author Patrick Bouwman explains how his book, Fundamentals of Process Control: Principles and Concepts, helps up-and-coming automation professionals build a solid foundation. What inspired you to ...

Marcus Hoversland, a UW graduate and process engineer at HF Sinclair in Casper, interacts with UW students in an “Intro to Chemical Engineering” class. UW has received a generous investment from HF ...

5G has been around for years and has seen some adoption in process applications. Now on the horizon, likely with extensive use of optical transmission, is 6G and in the near term, 5.5G. Sometimes ...

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

When trying to establish process control in plastic injection, watering the tool is a key variable that is often overlooked. Water set-up and design are every bit as important as establishing and ...

The lower fuselage half of the Multifunctional Fuselage Demonstrator (MFFD) being assembled at SAM|XL, shown here with conduction-welded stringers and ultrasonic spot-welded clips. Photo Credit: ...

Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.