Plastic 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.
The material covered will include:
Alexander Chaloupka has 10+ years of experience in plastics manufacturing and R&D. He founded sensXPERT in 2021, where he is leading the development of in-mold sensor technology and process solutions as Managing Director and CTO. He started his career at the Fraunhofer Institute for Chemical Technology researching the thermophysical analysis, chemical characterization, and rheology of polymers. He received his Ph.D. in Physics from the University of Augsburg, Germany.
For more information: https://www.4spe.org/i4a/pages/index.cfm?pageID=8226
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