AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

Bioprocess monitoring and control have been around since the beginning of therapeutic biotechnology, borrowing methodologies from industrial biotech and chemical/pharmaceutical processing. During the ...

Bioprocess monitoring is rapidly becoming a tool for achieving process understanding and control and, ultimately, for realizing high yields and quality product. Understanding which analytes matter ...

Process analytical technology (PAT), a quality assurance program for the pharmaceutical industry developed by the US Food and Drug Administration, enables pharmaceutical manufacturers to control ...

For thin film optical coatings, most critical production challenges appear in the first half of the manufacturing cycle, particularly in coating deposition methodologies. As explained by Ron Willey, ...

Combining process excellence with condition-based monitoring creates a predictive maintenance system that reduces downtime and costs. Strong processes streamline work, improve safety, and ensure ...

In this interview, industry experts Nimesh Khadka and Keith Freel explore how Raman-based PAT enhances hot melt extrusion by enabling real-time API monitoring, improving process control, and ...

This article presents the use of sensors in enabling continuous and reliable process monitoring. It presents the accurate and repeatable measurement, the frequency and scheduling of measurements, ...