Real-Time Process Optimization With In-Mold Sensors and Machine Learning
Learn how to make plastics manufacturing more predictable with new technology
Plastics manufacturing can be unpredictable. Deviations in material batches, moisture content, machine calibration, among other variables, lead to issues in manufacturing quality and final part properties. This webinar will introduce how dielectric analysis (DEA) sensors be used to directly measure material behavior in-mold. New technology has been developed to combine dielectric analysis with machine learning and material models, allowing for dynamic adjustments to machine settings, removing uncertainty from your process, and optimizing cycle times.
What you will learn in this webinar:
- Fundamentals of dielectric analysis and applications for plastic processing
- How dielectric analysis and machine learning can be combined for dynamic process optimization
- Case studies demonstrating how dielectric analysis is being used in industries ranging from automotive composites to electronic encapsulation